import pandas as pd
import os
import snowflake.connector
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
import plotly
import scipy.stats as stats
from sklearn.linear_model import LogisticRegression
from sklearn.preprocessing import StandardScaler
from sklearn.metrics import confusion_matrix, classification_report
from sklearn.neighbors import NearestNeighbors
#Enter the password you use to log into snowflake
import getpass
pwd = getpass.getpass("enter password")
enter password········
#Enter the username of your snowflake account and for account use the url data before .snowflakecomputing.com
#warehouse name can be found by clicking on warehouse on the right hand side of the run button on snowflake
#schema should be public but you can also check for it next to the warehouse button
import snowflake.connector
conn = snowflake.connector.connect(user='AL4129',
password=str(pwd),
account='szfezvd-columbia',
warehouse='WAREHOUSE',
schema='PUBLIC')
#create a query to pull data from snowflake into your dataset
#You can use any query you'd typically use to isolate the data you need
q1 = """
WITH BASE AS -- BASE
(
SELECT *
FROM (
SELECT TI.CM_TRACK, TI.TRACK_NAME, TI.CM_ALBUM,
TI.ALBUM_NAME, TI.RELEASE_DATE, AI.ARTIST_NAME,
AI.ARTIST_COUNTRY_CODE2, AI.COUNTRY_NAME, AI.GENRE_ID,
AI.ARTIST_GENRE,
ROW_NUMBER() OVER(PARTITION BY TI.CM_TRACK ORDER BY TI.CM_TRACK DESC) DUPE
FROM "CHARTMETRIC"."SHARES"."CAPSTONE_TRACK_INFO" TI
LEFT JOIN "CHARTMETRIC"."SHARES"."CAPSTONE_TRACK_ARTIST_INFO" AI
ON TI.CM_TRACK = AI.CM_TRACK
LEFT JOIN "CHARTMETRIC"."SHARES"."CAPSTONE_TRACK_STATS" TS
ON TI.CM_TRACK = TS.CM_TRACK
WHERE TI.CM_TRACK NOT IN
(SELECT DISTINCT CM_TRACK
FROM (
SELECT CM_TRACK,
COALESCE (SHAZAM_COUNT, 0) AS SHAZAM_COUNT,
COALESCE (TIKTOK_POSTS, 0) AS TIKTOK_POSTS
FROM "CHARTMETRIC"."SHARES"."CAPSTONE_TRACK_STATS")
WHERE SHAZAM_COUNT >= 10000
)
AND TI.CM_TRACK NOT IN
(SELECT DISTINCT CM_TRACK
FROM (
SELECT CM_TRACK,
COALESCE (SHAZAM_COUNT, 0) AS SHAZAM_COUNT,
COALESCE (TIKTOK_POSTS, 0) AS TIKTOK_POSTS
FROM "CHARTMETRIC"."SHARES"."CAPSTONE_TRACK_STATS")
WHERE TIKTOK_POSTS >= 10000
)
)
WHERE DUPE = 1
),
T0 AS (
SELECT CM_TRACK,ARTIST_GENRE
FROM (
SELECT CM_TRACK, ARTIST_GENRE, ROW_NUMBER() OVER (PARTITION BY CM_TRACK ORDER BY ARTIST_GENRE) AS rnk
FROM "CHARTMETRIC"."SHARES"."CAPSTONE_TRACK_ARTIST_INFO") AS t
WHERE rnk = 1),
T AS (
SELECT c.CM_TRACK, YOUTUBE_VIEWS, YOUTUBE_LIKES, SPOTIFY_PLAYS,
SPOTIFY_POPULARITY, TIKTOK_POSTS, AIRPLAY_STREAMS, T0.ARTIST_GENRE,
CREATED_AT, EXTRACT(MONTH FROM CREATED_AT) AS Month, EXTRACT(YEAR FROM CREATED_AT) AS Year
FROM "CHARTMETRIC"."SHARES"."CAPSTONE_TRACK_STATS" AS c LEFT JOIN T0
USING (CM_TRACK)),
T1 AS (
SELECT CM_TRACK, CREATED_AT, Month,
CASE WHEN Month IN (1,2,3) THEN 'Q1'
WHEN Month IN (4,5,6) THEN 'Q2'
WHEN Month IN (7,8,9) THEN 'Q3'
ELSE 'Q4' END AS Quarters
FROM T
WHERE Year = 2021),
T2 AS (
SELECT CM_TRACK, MAX(CREATED_AT) AS Last_day, Quarters
FROM T1
GROUP BY CM_TRACK, Quarters
ORDER BY CM_TRACK, QUarters),
T3 AS (
SELECT T.CM_TRACK, T2.Quarters, T2.Last_day,
YOUTUBE_VIEWS, LAG(YOUTUBE_VIEWS, 1) OVER(PARTITION BY T.CM_TRACK ORDER BY Quarters) AS Last_YOUTUBE_VIEWS,
YOUTUBE_LIKES, LAG(YOUTUBE_LIKES, 1) OVER(PARTITION BY T.CM_TRACK ORDER BY Quarters) AS Last_YOUTUBE_LIKES,
SPOTIFY_PLAYS, LAG(SPOTIFY_PLAYS, 1) OVER(PARTITION BY T.CM_TRACK ORDER BY Quarters) AS Last_SPOTIFY_PLAYS,
SPOTIFY_POPULARITY, LAG(SPOTIFY_POPULARITY, 1) OVER(PARTITION BY T.CM_TRACK ORDER BY Quarters) AS Last_SPOTIFY_POPULARITY,
TIKTOK_POSTS, LAG(TIKTOK_POSTS, 1) OVER(PARTITION BY T.CM_TRACK ORDER BY Quarters) AS Last_TIKTOK_POSTS,
AIRPLAY_STREAMS, LAG(AIRPLAY_STREAMS, 1) OVER(PARTITION BY T.CM_TRACK ORDER BY Quarters) AS Last_AIRPLAY_STREAMS,
ARTIST_GENRE
FROM T JOIN T2
ON T.CM_TRACK = T2.CM_TRACK AND T.CREATED_AT = T2.Last_day
ORDER BY T.CM_TRACK, T2.Quarters),
Q1_growth AS (
SELECT T3.CM_TRACK, IFNULL(T3.YOUTUBE_VIEWS - c.MIN_YT_L,0) AS Q1_YOUTUBE_VIEWS_GROWTH,
IFNULL(T3.YOUTUBE_LIKES - c.MIN_YT_L,0) AS Q1_YOUTUBE_LIKES_GROWTH,
IFNULL(T3.SPOTIFY_PLAYS - c.MIN_SPOT_P,0) AS Q1_SPOTIFY_PLAYS_GROWTH,
IFNULL(T3.SPOTIFY_POPULARITY - c.MIN_SPOT_PP,0) AS Q1_SPOTIFY_POPULARITY_GROWTH,
IFNULL(T3.TIKTOK_POSTS - c.MIN_TT,0) AS Q1_TIKTOK_POSTS_GROWTH,
IFNULL(T3.AIRPLAY_STREAMS - c.MIN_AP,0) AS Q1_AIRPLAY_STREAMS_GROWTH, ARTIST_GENRE
FROM T3 LEFT JOIN (SELECT CM_TRACK, MIN(YOUTUBE_VIEWS) AS MIN_YT_V,
MIN(YOUTUBE_LIKES) AS MIN_YT_L,
MIN(SPOTIFY_PLAYS) AS MIN_SPOT_P,
MIN(SPOTIFY_POPULARITY) AS MIN_SPOT_PP,
MIN(TIKTOK_POSTS) AS MIN_TT,
MIN(AIRPLAY_STREAMS) AS MIN_AP
FROM (
SELECT CM_TRACK, YOUTUBE_VIEWS, YOUTUBE_LIKES,
SPOTIFY_PLAYS, SPOTIFY_POPULARITY, TIKTOK_POSTS,
AIRPLAY_STREAMS, CREATED_AT, Month,
CASE WHEN Month IN (1,2,3) THEN 'Q1'
WHEN Month IN (4,5,6) THEN 'Q2'
WHEN Month IN (7,8,9) THEN 'Q3'
ELSE 'Q4' END AS Quarters
FROM (
SELECT CM_TRACK, YOUTUBE_VIEWS, YOUTUBE_LIKES,
SPOTIFY_PLAYS, SPOTIFY_POPULARITY, TIKTOK_POSTS,
AIRPLAY_STREAMS, CREATED_AT,
EXTRACT(MONTH FROM CREATED_AT) AS Month, EXTRACT(YEAR FROM CREATED_AT) AS Year
FROM "CHARTMETRIC"."SHARES"."CAPSTONE_TRACK_STATS"
WHERE CREATED_AT BETWEEN '2021-01-01' AND '2021-12-31'
)
)
WHERE Quarters = 'Q1'
GROUP BY CM_TRACK
) AS c
USING (CM_TRACK)
WHERE Quarters = 'Q1'),
Q2_Growth AS(
SELECT T3.CM_TRACK, IFNULL(T3.YOUTUBE_VIEWS - c.YOUTUBE_VIEWS,0) AS Q2_YOUTUBE_VIEWS_GROWTH,
IFNULL(T3.YOUTUBE_LIKES - c.YOUTUBE_LIKES,0) AS Q2_YOUTUBE_LIKES_GROWTH,
IFNULL(T3.SPOTIFY_PLAYS - c.SPOTIFY_PLAYS,0) AS Q2_SPOTIFY_PLAYS_GROWTH,
IFNULL(T3.SPOTIFY_POPULARITY - c.SPOTIFY_POPULARITY,0) AS Q2_SPOTIFY_POPULARITY_GROWTH,
IFNULL(T3.TIKTOK_POSTS - c.TIKTOK_POSTS,0) AS Q2_TIKTOK_POSTS_GROWTH,
IFNULL(T3.AIRPLAY_STREAMS - c.AIRPLAY_STREAMS,0) AS Q2_AIRPLAY_STREAMS_GROWTH, ARTIST_GENRE
FROM T3 LEFT JOIN (SELECT CM_TRACK, YOUTUBE_VIEWS, YOUTUBE_LIKES, SPOTIFY_PLAYS, SPOTIFY_POPULARITY, TIKTOK_POSTS, AIRPLAY_STREAMS
FROM T3
WHERE Quarters = 'Q1') AS c
USING (CM_TRACK)
WHERE Quarters = 'Q2'),
Q3_Growth AS (
SELECT T3.CM_TRACK, IFNULL(T3.YOUTUBE_VIEWS - c.YOUTUBE_VIEWS,0) AS Q3_YOUTUBE_VIEWS_GROWTH,
IFNULL(T3.YOUTUBE_LIKES - c.YOUTUBE_LIKES,0) AS Q3_YOUTUBE_LIKES_GROWTH,
IFNULL(T3.SPOTIFY_PLAYS - c.SPOTIFY_PLAYS,0) AS Q3_SPOTIFY_PLAYS_GROWTH,
IFNULL(T3.SPOTIFY_POPULARITY - c.SPOTIFY_POPULARITY,0) AS Q3_SPOTIFY_POPULARITY_GROWTH,
IFNULL(T3.TIKTOK_POSTS - c.TIKTOK_POSTS,0) AS Q3_TIKTOK_POSTS_GROWTH,
IFNULL(T3.AIRPLAY_STREAMS - c.AIRPLAY_STREAMS,0) AS Q3_AIRPLAY_STREAMS_GROWTH, ARTIST_GENRE
FROM T3 LEFT JOIN (SELECT CM_TRACK, YOUTUBE_VIEWS, YOUTUBE_LIKES, SPOTIFY_PLAYS, SPOTIFY_POPULARITY, TIKTOK_POSTS, AIRPLAY_STREAMS
FROM T3
WHERE Quarters = 'Q2') AS c
USING (CM_TRACK)
WHERE Quarters = 'Q3'),
Q4_Growth AS (
SELECT T3.CM_TRACK, IFNULL(T3.YOUTUBE_VIEWS - c.YOUTUBE_VIEWS,0) AS Q4_YOUTUBE_VIEWS_GROWTH,
IFNULL(T3.YOUTUBE_LIKES - c.YOUTUBE_LIKES,0) AS Q4_YOUTUBE_LIKES_GROWTH,
IFNULL(T3.SPOTIFY_PLAYS - c.SPOTIFY_PLAYS,0) AS Q4_SPOTIFY_PLAYS_GROWTH,
IFNULL(T3.SPOTIFY_POPULARITY - c.SPOTIFY_POPULARITY,0) AS Q4_SPOTIFY_POPULARITY_GROWTH,
IFNULL(T3.TIKTOK_POSTS - c.TIKTOK_POSTS,0) AS Q4_TIKTOK_POSTS_GROWTH,
IFNULL(T3.AIRPLAY_STREAMS - c.AIRPLAY_STREAMS,0) AS Q4_AIRPLAY_STREAMS_GROWTH, ARTIST_GENRE
FROM T3 LEFT JOIN (SELECT CM_TRACK, YOUTUBE_VIEWS, YOUTUBE_LIKES, SPOTIFY_PLAYS, SPOTIFY_POPULARITY, TIKTOK_POSTS, AIRPLAY_STREAMS
FROM T3
WHERE Quarters = 'Q3') AS c
USING (CM_TRACK)
WHERE Quarters = 'Q4'),
QUARTERS_FINAL AS (
SELECT Q4_Growth.CM_TRACK, Q4_Growth.ARTIST_GENRE,
IFNULL(Q1_YOUTUBE_VIEWS_GROWTH, 0) AS Q1_YOUTUBE_VIEWS_GROWTH, IFNULL(Q1_YOUTUBE_LIKES_GROWTH, 0) AS Q1_YOUTUBE_LIKES_GROWTH,
IFNULL(Q1_SPOTIFY_PLAYS_GROWTH, 0) AS Q1_SPOTIFY_PLAYS_GROWTH, IFNULL(Q1_SPOTIFY_POPULARITY_GROWTH, 0) AS Q1_SPOTIFY_POPULARITY_GROWTH,
IFNULL(Q1_TIKTOK_POSTS_GROWTH, 0) AS Q1_TIKTOK_POSTS_GROWTH, IFNULL(Q1_AIRPLAY_STREAMS_GROWTH, 0) AS Q1_AIRPLAY_STREAMS_GROWTH,
IFNULL(Q2_YOUTUBE_VIEWS_GROWTH, 0) AS Q2_YOUTUBE_VIEWS_GROWTH, IFNULL(Q2_YOUTUBE_LIKES_GROWTH, 0) AS Q2_YOUTUBE_LIKES_GROWTH,
IFNULL(Q2_SPOTIFY_PLAYS_GROWTH, 0) AS Q2_SPOTIFY_PLAYS_GROWTH, IFNULL(Q2_SPOTIFY_POPULARITY_GROWTH, 0) AS Q2_SPOTIFY_POPULARITY_GROWTH,
IFNULL(Q2_TIKTOK_POSTS_GROWTH, 0) AS Q2_TIKTOK_POSTS_GROWTH, IFNULL(Q2_AIRPLAY_STREAMS_GROWTH, 0) AS Q2_AIRPLAY_STREAMS_GROWTH,
IFNULL(Q3_YOUTUBE_VIEWS_GROWTH, 0) AS Q3_YOUTUBE_VIEWS_GROWTH, IFNULL(Q3_YOUTUBE_LIKES_GROWTH, 0) AS Q3_YOUTUBE_LIKES_GROWTH,
IFNULL(Q3_SPOTIFY_PLAYS_GROWTH, 0) AS Q3_SPOTIFY_PLAYS_GROWTH, IFNULL(Q3_SPOTIFY_POPULARITY_GROWTH, 0) AS Q3_SPOTIFY_POPULARITY_GROWTH,
IFNULL(Q3_TIKTOK_POSTS_GROWTH, 0) AS Q3_TIKTOK_POSTS_GROWTH, IFNULL(Q3_AIRPLAY_STREAMS_GROWTH, 0) AS Q3_AIRPLAY_STREAMS_GROWTH,
IFNULL(Q4_YOUTUBE_VIEWS_GROWTH, 0) AS Q4_YOUTUBE_VIEWS_GROWTH, IFNULL(Q4_YOUTUBE_LIKES_GROWTH, 0) AS Q4_YOUTUBE_LIKES_GROWTH,
IFNULL(Q4_SPOTIFY_PLAYS_GROWTH, 0) AS Q4_SPOTIFY_PLAYS_GROWTH, IFNULL(Q4_SPOTIFY_POPULARITY_GROWTH, 0) AS Q4_SPOTIFY_POPULARITY_GROWTH,
IFNULL(Q4_TIKTOK_POSTS_GROWTH, 0) AS Q4_TIKTOK_POSTS_GROWTH, IFNULL(Q4_AIRPLAY_STREAMS_GROWTH, 0) AS Q4_AIRPLAY_STREAMS_GROWTH
FROM Q1_Growth FULL JOIN Q2_Growth
ON Q1_Growth.CM_TRACK = Q2_Growth.CM_TRACK AND Q1_Growth.ARTIST_GENRE = Q2_Growth.ARTIST_GENRE
FULL JOIN Q3_Growth
ON Q2_Growth.CM_TRACK = Q3_Growth.CM_TRACK AND Q2_Growth.ARTIST_GENRE = Q3_Growth.ARTIST_GENRE
FULL JOIN Q4_Growth
ON Q3_Growth.CM_TRACK = Q4_Growth.CM_TRACK AND Q3_Growth.ARTIST_GENRE = Q4_Growth.ARTIST_GENRE
ORDER BY CM_TRACK, ARTIST_GENRE),
-- Date table: Find the last date of each month for each CM_Track
Date AS(SELECT CM_TRACK,MONTH(Created_at) as Month,MAX(Created_at) as last_day
FROM "CHARTMETRIC"."SHARES"."CAPSTONE_TRACK_STATS"
WHERE YEAR(Created_at) ='2021'
GROUP BY Month,CM_TRACK
ORDER BY 1,2),
-- MonthlyCTE: Join the platforms performance to date data
MonthlyCTE AS(SELECT a.CM_TRACK,a.Month,a.last_day,b.YOUTUBE_VIEWS,b.YOUTUBE_LIKES,b.SPOTIFY_PLAYS,b.SPOTIFY_POPULARITY,
b.TIKTOK_POSTS,b.AIRPLAY_STREAMS
FROM Date a
LEFT JOIN "CHARTMETRIC"."SHARES"."CAPSTONE_TRACK_STATS" b
ON a.CM_TRACK = b.CM_TRACK
AND a.last_day = b.created_at
WHERE YEAR(Created_at) ='2021'),
-- GenreïŒPick up the representive genre of each track based on artist genre rank
Genre AS(SELECT CM_TRACK,artist_genre as genre
FROM (SELECT c.CM_TRACK,c.artist_genre,
row_number()OVER(PARTITION BY CM_TRACK ORDER BY artist_genre) as rnk
FROM "CHARTMETRIC"."SHARES"."CAPSTONE_TRACK_ARTIST_INFO" c) tmp
WHERE rnk=1),
-- Genre_MonthlyCTE:Join the representive genre to monthly platforms performance
Genre_MonthlyCTE AS (SELECT g.genre,d.*
FROM MonthlyCTE d
LEFT JOIN Genre g
USING(CM_TRACK)),
-- Pre_MonthlyCTE: Query last monthly data and join them to each month (EG: May/June,June/July...)
Pre_MonthlyCTE AS(SELECT CM_TRACK,genre,Month,last_day,YOUTUBE_VIEWS,YOUTUBE_LIKES,SPOTIFY_PLAYS,SPOTIFY_POPULARITY,
TIKTOK_POSTS,AIRPLAY_STREAMS,
LAG(YOUTUBE_VIEWS,1) OVER(PARTITION BY CM_TRACK ORDER BY Month) as prev_month_YTViews,
LAG(YOUTUBE_LIKES,1) OVER(PARTITION BY CM_TRACK ORDER BY Month) as prev_month_YTLikes,
LAG(SPOTIFY_PLAYS,1) OVER(PARTITION BY CM_TRACK ORDER BY Month) as prev_month_SpotifyPlays,
LAG(SPOTIFY_POPULARITY,1) OVER(PARTITION BY CM_TRACK ORDER BY Month) as prev_month_SpotifyPop,
LAG(TIKTOK_POSTS,1) OVER(PARTITION BY CM_TRACK ORDER BY Month) as prev_month_TIKTOKPOSTS,
LAG(AIRPLAY_STREAMS,1) OVER(PARTITION BY CM_TRACK ORDER BY Month) as prev_month_AIRPLAY
FROM Genre_MonthlyCTE),
-- Growth Rate TableïŒ includes perfomance of platforms and the every montly growth
Growth_Rate AS(SELECT CM_TRACK,genre,month,last_day,YOUTUBE_VIEWS,prev_month_YTViews,
YOUTUBE_VIEWS-prev_month_YTViews as YTViews_Growth,
YOUTUBE_LIKES,prev_month_YTLikes,
YOUTUBE_LIKES-prev_month_YTLikes as YTLikes_Growth,
SPOTIFY_PLAYS,prev_month_SpotifyPlays,
SPOTIFY_PLAYS-prev_month_SpotifyPlays as SpotifyPlays_Growth,
SPOTIFY_POPULARITY,prev_month_SpotifyPop,
SPOTIFY_POPULARITY-prev_month_SpotifyPop as SpotifyPop_Growth,
TIKTOK_POSTS,prev_month_TIKTOKPOSTS,
TIKTOK_POSTS-prev_month_TIKTOKPOSTS as TIKTOK_Growth,
AIRPLAY_STREAMS,prev_month_AIRPLAY,
AIRPLAY_STREAMS-prev_month_AIRPLAY as AIRPLAY_Growth
FROM Pre_MonthlyCTE),
YTViews_Growth AS(SELECT CM_TRACK,genre,month,YTViews_Growth
FROM Growth_Rate),
MOM_FINAL AS (
SELECT CM_Track,genre,
MAX(CASE WHEN month='1' THEN YTViews_Growth ELSE 0 END) AS "M1_YOUTUBE_VIEWS_GROWTH",
MAX(CASE WHEN month='2' THEN YTViews_Growth ELSE 0 END) AS "M2_YOUTUBE_VIEWS_GROWTH",
MAX(CASE WHEN month='3' THEN YTViews_Growth ELSE 0 END) AS "M3_YOUTUBE_VIEWS_GROWTH",
MAX(CASE WHEN month='4' THEN YTViews_Growth ELSE 0 END) AS "M4_YOUTUBE_VIEWS_GROWTH",
MAX(CASE WHEN month='5' THEN YTViews_Growth ELSE 0 END) AS "M5_YOUTUBE_VIEWS_GROWTH",
MAX(CASE WHEN month='6' THEN YTViews_Growth ELSE 0 END) AS "M6_YOUTUBE_VIEWS_GROWTH",
MAX(CASE WHEN month='7' THEN YTViews_Growth ELSE 0 END) AS "M7_YOUTUBE_VIEWS_GROWTH",
MAX(CASE WHEN month='8' THEN YTViews_Growth ELSE 0 END) AS "M8_YOUTUBE_VIEWS_GROWTH",
MAX(CASE WHEN month='9' THEN YTViews_Growth ELSE 0 END) AS "M9_YOUTUBE_VIEWS_GROWTH",
MAX(CASE WHEN month='10' THEN YTViews_Growth ELSE 0 END) AS "M10_YOUTUBE_VIEWS_GROWTH",
MAX(CASE WHEN month='11' THEN YTViews_Growth ELSE 0 END) AS "M11_YOUTUBE_VIEWS_GROWTH",
MAX(CASE WHEN month='12' THEN YTViews_Growth ELSE 0 END) AS "M12_YOUTUBE_VIEWS_GROWTH",
MAX(CASE WHEN month='1' THEN YTLikes_Growth ELSE 0 END) AS "M1_YOUTUBE_LIKES_GROWTH",
MAX(CASE WHEN month='2' THEN YTLikes_Growth ELSE 0 END) AS "M2_YOUTUBE_LIKES_GROWTH",
MAX(CASE WHEN month='3' THEN YTLikes_Growth ELSE 0 END) AS "M3_YOUTUBE_LIKES_GROWTH",
MAX(CASE WHEN month='4' THEN YTLikes_Growth ELSE 0 END) AS "M4_YOUTUBE_LIKES_GROWTH",
MAX(CASE WHEN month='5' THEN YTLikes_Growth ELSE 0 END) AS "M5_YOUTUBE_LIKES_GROWTH",
MAX(CASE WHEN month='6' THEN YTLikes_Growth ELSE 0 END) AS "M6_YOUTUBE_LIKES_GROWTH",
MAX(CASE WHEN month='7' THEN YTLikes_Growth ELSE 0 END) AS "M7_YOUTUBE_LIKES_GROWTH",
MAX(CASE WHEN month='8' THEN YTLikes_Growth ELSE 0 END) AS "M8_YOUTUBE_LIKES_GROWTH",
MAX(CASE WHEN month='9' THEN YTLikes_Growth ELSE 0 END) AS "M9_YOUTUBE_LIKES_GROWTH",
MAX(CASE WHEN month='10' THEN YTLikes_Growth ELSE 0 END) AS "M10_YOUTUBE_LIKES_GROWTH",
MAX(CASE WHEN month='11' THEN YTLikes_Growth ELSE 0 END) AS "M11_YOUTUBE_LIKES_GROWTH",
MAX(CASE WHEN month='12' THEN YTLikes_Growth ELSE 0 END) AS "M12_YOUTUBE_LIKES_GROWTH",
MAX(CASE WHEN month='1' THEN SpotifyPlays_Growth ELSE 0 END) AS "M1_SPOTIFY_PLAYS_GROWTH",
MAX(CASE WHEN month='2' THEN SpotifyPlays_Growth ELSE 0 END) AS "M2_SPOTIFY_PLAYS_GROWTH",
MAX(CASE WHEN month='3' THEN SpotifyPlays_Growth ELSE 0 END) AS "M3_SPOTIFY_PLAYS_GROWTH",
MAX(CASE WHEN month='4' THEN SpotifyPlays_Growth ELSE 0 END) AS "M4_SPOTIFY_PLAYS_GROWTH",
MAX(CASE WHEN month='5' THEN SpotifyPlays_Growth ELSE 0 END) AS "M5_SPOTIFY_PLAYS_GROWTH",
MAX(CASE WHEN month='6' THEN SpotifyPlays_Growth ELSE 0 END) AS "M6_SPOTIFY_PLAYS_GROWTH",
MAX(CASE WHEN month='7' THEN SpotifyPlays_Growth ELSE 0 END) AS "M7_SPOTIFY_PLAYS_GROWTH",
MAX(CASE WHEN month='8' THEN SpotifyPlays_Growth ELSE 0 END) AS "M8_SPOTIFY_PLAYS_GROWTH",
MAX(CASE WHEN month='9' THEN SpotifyPlays_Growth ELSE 0 END) AS "M9_SPOTIFY_PLAYS_GROWTH",
MAX(CASE WHEN month='10' THEN SpotifyPlays_Growth ELSE 0 END) AS "M10_SPOTIFY_PLAYS_GROWTH",
MAX(CASE WHEN month='11' THEN SpotifyPlays_Growth ELSE 0 END) AS "M11_SPOTIFY_PLAYS_GROWTH",
MAX(CASE WHEN month='12' THEN SpotifyPlays_Growth ELSE 0 END) AS "M12_SPOTIFY_PLAYS_GROWTH",
MAX(CASE WHEN month='1' THEN SpotifyPop_Growth ELSE 0 END) AS "M1_SPOTIFY_POPULARITY_GROWTH",
MAX(CASE WHEN month='2' THEN SpotifyPop_Growth ELSE 0 END) AS "M2_SPOTIFY_POPULARITY_GROWTH",
MAX(CASE WHEN month='3' THEN SpotifyPop_Growth ELSE 0 END) AS "M3_SPOTIFY_POPULARITY_GROWTH",
MAX(CASE WHEN month='4' THEN SpotifyPop_Growth ELSE 0 END) AS "M4_SPOTIFY_POPULARITY_GROWTH",
MAX(CASE WHEN month='5' THEN SpotifyPop_Growth ELSE 0 END) AS "M5_SPOTIFY_POPULARITY_GROWTH",
MAX(CASE WHEN month='6' THEN SpotifyPop_Growth ELSE 0 END) AS "M6_SPOTIFY_POPULARITY_GROWTH",
MAX(CASE WHEN month='7' THEN SpotifyPop_Growth ELSE 0 END) AS "M7_SPOTIFY_POPULARITY_GROWTH",
MAX(CASE WHEN month='8' THEN SpotifyPop_Growth ELSE 0 END) AS "M8_SPOTIFY_POPULARITY_GROWTH",
MAX(CASE WHEN month='9' THEN SpotifyPop_Growth ELSE 0 END) AS "M9_SPOTIFY_POPULARITY_GROWTH",
MAX(CASE WHEN month='10' THEN SpotifyPop_Growth ELSE 0 END) AS "M10_SPOTIFY_POPULARITY_GROWTH",
MAX(CASE WHEN month='11' THEN SpotifyPop_Growth ELSE 0 END) AS "M11_SPOTIFY_POPULARITY_GROWTH",
MAX(CASE WHEN month='12' THEN SpotifyPop_Growth ELSE 0 END) AS "M12_SPOTIFY_POPULARITY_GROWTH",
MAX(CASE WHEN month='1' THEN TIKTOK_Growth ELSE 0 END) AS "M1_TIKTOK_POSTS_GROWTH",
MAX(CASE WHEN month='2' THEN TIKTOK_Growth ELSE 0 END) AS "M2_TIKTOK_POSTS_GROWTH",
MAX(CASE WHEN month='3' THEN TIKTOK_Growth ELSE 0 END) AS "M3_TIKTOK_POSTS_GROWTH",
MAX(CASE WHEN month='4' THEN TIKTOK_Growth ELSE 0 END) AS "M4_TIKTOK_POSTS_GROWTH",
MAX(CASE WHEN month='5' THEN TIKTOK_Growth ELSE 0 END) AS "M5_TIKTOK_POSTS_GROWTH",
MAX(CASE WHEN month='6' THEN TIKTOK_Growth ELSE 0 END) AS "M6_TIKTOK_POSTS_GROWTH",
MAX(CASE WHEN month='7' THEN TIKTOK_Growth ELSE 0 END) AS "M7_TIKTOK_POSTS_GROWTH",
MAX(CASE WHEN month='8' THEN TIKTOK_Growth ELSE 0 END) AS "M8_TIKTOK_POSTS_GROWTH",
MAX(CASE WHEN month='9' THEN TIKTOK_Growth ELSE 0 END) AS "M9_TIKTOK_POSTS_GROWTH",
MAX(CASE WHEN month='10' THEN TIKTOK_Growth ELSE 0 END) AS "M10_TIKTOK_POSTS_GROWTH",
MAX(CASE WHEN month='11' THEN TIKTOK_Growth ELSE 0 END) AS "M11_TIKTOK_POSTS_GROWTH",
MAX(CASE WHEN month='12' THEN TIKTOK_Growth ELSE 0 END) AS "M12_TIKTOK_POSTS_GROWTH",
MAX(CASE WHEN month='1' THEN AIRPLAY_Growth ELSE 0 END) AS "M1_AIRPLAY_STREAMS_GROWTH",
MAX(CASE WHEN month='2' THEN AIRPLAY_Growth ELSE 0 END) AS "M2_AIRPLAY_STREAMS_GROWTH",
MAX(CASE WHEN month='3' THEN AIRPLAY_Growth ELSE 0 END) AS "M3_AIRPLAY_STREAMS_GROWTH",
MAX(CASE WHEN month='4' THEN AIRPLAY_Growth ELSE 0 END) AS "M4_AIRPLAY_STREAMS_GROWTH",
MAX(CASE WHEN month='5' THEN AIRPLAY_Growth ELSE 0 END) AS "M5_AIRPLAY_STREAMS_GROWTH",
MAX(CASE WHEN month='6' THEN AIRPLAY_Growth ELSE 0 END) AS "M6_AIRPLAY_STREAMS_GROWTH",
MAX(CASE WHEN month='7' THEN AIRPLAY_Growth ELSE 0 END) AS "M7_AIRPLAY_STREAMS_GROWTH",
MAX(CASE WHEN month='8' THEN AIRPLAY_Growth ELSE 0 END) AS "M8_AIRPLAY_STREAMS_GROWTH",
MAX(CASE WHEN month='9' THEN AIRPLAY_Growth ELSE 0 END) AS "M9_AIRPLAY_STREAMS_GROWTH",
MAX(CASE WHEN month='10' THEN AIRPLAY_Growth ELSE 0 END) AS "M10_AIRPLAY_STREAMS_GROWTH",
MAX(CASE WHEN month='11' THEN AIRPLAY_Growth ELSE 0 END) AS "M11_AIRPLAY_STREAMS_GROWTH",
MAX(CASE WHEN month='12' THEN AIRPLAY_Growth ELSE 0 END) AS "M12_AIRPLAY_STREAMS_GROWTH"
FROM Growth_Rate
GROUP BY 1,2),
WOW_FINAL AS (
SELECT CM_TRACK, SUM(A) AS WK1_YT_VIEWS_GROWTH, SUM(B) AS WK2_YT_VIEWS_GROWTH, SUM(C) AS WK3_YT_VIEWS_GROWTH,
SUM(D) AS WK4_YT_VIEWS_GROWTH, SUM(E) AS WK5_YT_VIEWS_GROWTH, SUM(F) AS WK6_YT_VIEWS_GROWTH,
SUM(G) AS WK7_YT_VIEWS_GROWTH, SUM(H) AS WK8_YT_VIEWS_GROWTH, SUM(I) AS WK9_YT_VIEWS_GROWTH,
SUM(J) AS WK10_YT_VIEWS_GROWTH, SUM(K) AS WK11_YT_VIEWS_GROWTH, SUM(L) AS WK12_YT_VIEWS_GROWTH,
SUM(M) AS WK13_YT_VIEWS_GROWTH, SUM(N) AS WK14_YT_VIEWS_GROWTH, SUM(O) AS WK15_YT_VIEWS_GROWTH, -- END OF YT
SUM(P) AS WK1_SPOTIFY_PLAYS_GROWTH, SUM(Q) AS WK2_SPOTIFY_PLAYS_GROWTH, SUM(R) AS WK3_SPOTIFY_PLAYS_GROWTH,
SUM(S) AS WK4_SPOTIFY_PLAYS_GROWTH, SUM(T) AS WK5_SPOTIFY_PLAYS_GROWTH, SUM(U) AS WK6_SPOTIFY_PLAYS_GROWTH,
SUM(V) AS WK7_SPOTIFY_PLAYS_GROWTH, SUM(W) AS WK8_SPOTIFY_PLAYS_GROWTH, SUM(X) AS WK9_SPOTIFY_PLAYS_GROWTH,
SUM(Y) AS WK10_SPOTIFY_PLAYS_GROWTH, SUM(Z) AS WK11_SPOTIFY_PLAYS_GROWTH, SUM(AA) AS WK12_SPOTIFY_PLAYS_GROWTH,
SUM(BB) AS WK13_SPOTIFY_PLAYS_GROWTH, SUM(CC) AS WK14_SPOTIFY_PLAYS_GROWTH, SUM(DD) AS WK15_SPOTIFY_PLAYS_GROWTH, -- END OF SPOTIFY
SUM(EE) AS WK1_TIKTOK_POSTS_GROWTH, SUM(FF) AS WK2_TIKTOK_POSTS_GROWTH, SUM(GG) AS WK3_TIKTOK_POSTS_GROWTH,
SUM(HH) AS WK4_TIKTOK_POSTS_GROWTH, SUM(II) AS WK5_TIKTOK_POSTS_GROWTH, SUM(JJ) AS WK6_TIKTOK_POSTS_GROWTH,
SUM(KK) AS WK7_TIKTOK_POSTS_GROWTH, SUM(LL) AS WK8_TIKTOK_POSTS_GROWTH, SUM(MM) AS WK9_TIKTOK_POSTS_GROWTH,
SUM(NN) AS WK10_TIKTOK_POSTS_GROWTH, SUM(OO) AS WK11_TIKTOK_POSTS_GROWTH, SUM(PP) AS WK12_TIKTOK_POSTS_GROWTH,
SUM(QQ) AS WK13_TIKTOK_POSTS_GROWTH, SUM(RR) AS WK14_TIKTOK_POSTS_GROWTH, SUM(SS) AS WK15_TIKTOK_POSTS_GROWTH
FROM(
SELECT CM_TRACK, CREATED_AT,
SUM(CASE WHEN YEAR_WEEK = 1 THEN WOW_YT_VIEWS_GROWTH ELSE 0 END) AS A,SUM(CASE WHEN YEAR_WEEK = 2 THEN WOW_YT_VIEWS_GROWTH ELSE 0 END) AS B,
SUM(CASE WHEN YEAR_WEEK = 3 THEN WOW_YT_VIEWS_GROWTH ELSE 0 END) AS C,SUM(CASE WHEN YEAR_WEEK = 4 THEN WOW_YT_VIEWS_GROWTH ELSE 0 END) AS D,
SUM(CASE WHEN YEAR_WEEK = 5 THEN WOW_YT_VIEWS_GROWTH ELSE 0 END) AS E,SUM(CASE WHEN YEAR_WEEK = 6 THEN WOW_YT_VIEWS_GROWTH ELSE 0 END) AS F,
SUM(CASE WHEN YEAR_WEEK = 7 THEN WOW_YT_VIEWS_GROWTH ELSE 0 END) AS G,SUM(CASE WHEN YEAR_WEEK = 8 THEN WOW_YT_VIEWS_GROWTH ELSE 0 END) AS H,
SUM(CASE WHEN YEAR_WEEK = 9 THEN WOW_YT_VIEWS_GROWTH ELSE 0 END) AS I,SUM(CASE WHEN YEAR_WEEK = 10 THEN WOW_YT_VIEWS_GROWTH ELSE 0 END) AS J,
SUM(CASE WHEN YEAR_WEEK = 11 THEN WOW_YT_VIEWS_GROWTH ELSE 0 END) AS K,SUM(CASE WHEN YEAR_WEEK = 12 THEN WOW_YT_VIEWS_GROWTH ELSE 0 END) AS L,
SUM(CASE WHEN YEAR_WEEK = 13 THEN WOW_YT_VIEWS_GROWTH ELSE 0 END) AS M,SUM(CASE WHEN YEAR_WEEK = 14 THEN WOW_YT_VIEWS_GROWTH ELSE 0 END) AS N,
SUM(CASE WHEN YEAR_WEEK = 15 THEN WOW_YT_VIEWS_GROWTH ELSE 0 END) AS O,SUM(CASE WHEN YEAR_WEEK = 1 THEN WOW_SPOTIFY_PLAYS_GROWTH ELSE 0 END) AS P, -- END OF YT
SUM(CASE WHEN YEAR_WEEK = 2 THEN WOW_SPOTIFY_PLAYS_GROWTH ELSE 0 END) AS Q,SUM(CASE WHEN YEAR_WEEK = 3 THEN WOW_SPOTIFY_PLAYS_GROWTH ELSE 0 END) AS R,
SUM(CASE WHEN YEAR_WEEK = 4 THEN WOW_SPOTIFY_PLAYS_GROWTH ELSE 0 END) AS S,SUM(CASE WHEN YEAR_WEEK = 5 THEN WOW_SPOTIFY_PLAYS_GROWTH ELSE 0 END) AS T,
SUM(CASE WHEN YEAR_WEEK = 6 THEN WOW_SPOTIFY_PLAYS_GROWTH ELSE 0 END) AS U,SUM(CASE WHEN YEAR_WEEK = 7 THEN WOW_SPOTIFY_PLAYS_GROWTH ELSE 0 END) AS V,
SUM(CASE WHEN YEAR_WEEK = 8 THEN WOW_SPOTIFY_PLAYS_GROWTH ELSE 0 END) AS W,SUM(CASE WHEN YEAR_WEEK = 9 THEN WOW_SPOTIFY_PLAYS_GROWTH ELSE 0 END) AS X,
SUM(CASE WHEN YEAR_WEEK = 10 THEN WOW_SPOTIFY_PLAYS_GROWTH ELSE 0 END) AS Y,SUM(CASE WHEN YEAR_WEEK = 11 THEN WOW_SPOTIFY_PLAYS_GROWTH ELSE 0 END) AS Z,
SUM(CASE WHEN YEAR_WEEK = 12 THEN WOW_SPOTIFY_PLAYS_GROWTH ELSE 0 END) AS AA,SUM(CASE WHEN YEAR_WEEK = 13 THEN WOW_SPOTIFY_PLAYS_GROWTH ELSE 0 END) AS BB,
SUM(CASE WHEN YEAR_WEEK = 14 THEN WOW_SPOTIFY_PLAYS_GROWTH ELSE 0 END) AS CC,SUM(CASE WHEN YEAR_WEEK = 15 THEN WOW_SPOTIFY_PLAYS_GROWTH ELSE 0 END) AS DD, -- END OF SPOTIFY
SUM(CASE WHEN YEAR_WEEK = 1 THEN WOW_TIKTOK_POSTS_GROWTH ELSE 0 END) AS EE,
SUM(CASE WHEN YEAR_WEEK = 2 THEN WOW_TIKTOK_POSTS_GROWTH ELSE 0 END) AS FF,
SUM(CASE WHEN YEAR_WEEK = 3 THEN WOW_TIKTOK_POSTS_GROWTH ELSE 0 END) AS GG,
SUM(CASE WHEN YEAR_WEEK = 4 THEN WOW_TIKTOK_POSTS_GROWTH ELSE 0 END) AS HH,
SUM(CASE WHEN YEAR_WEEK = 5 THEN WOW_TIKTOK_POSTS_GROWTH ELSE 0 END) AS II,
SUM(CASE WHEN YEAR_WEEK = 6 THEN WOW_TIKTOK_POSTS_GROWTH ELSE 0 END) AS JJ,
SUM(CASE WHEN YEAR_WEEK = 7 THEN WOW_TIKTOK_POSTS_GROWTH ELSE 0 END) AS KK,
SUM(CASE WHEN YEAR_WEEK = 8 THEN WOW_TIKTOK_POSTS_GROWTH ELSE 0 END) AS LL,
SUM(CASE WHEN YEAR_WEEK = 9 THEN WOW_TIKTOK_POSTS_GROWTH ELSE 0 END) AS MM,
SUM(CASE WHEN YEAR_WEEK = 10 THEN WOW_TIKTOK_POSTS_GROWTH ELSE 0 END) AS NN,
SUM(CASE WHEN YEAR_WEEK = 11 THEN WOW_TIKTOK_POSTS_GROWTH ELSE 0 END) AS OO,
SUM(CASE WHEN YEAR_WEEK = 12 THEN WOW_TIKTOK_POSTS_GROWTH ELSE 0 END) AS PP,
SUM(CASE WHEN YEAR_WEEK = 13 THEN WOW_TIKTOK_POSTS_GROWTH ELSE 0 END) AS QQ,
SUM(CASE WHEN YEAR_WEEK = 14 THEN WOW_TIKTOK_POSTS_GROWTH ELSE 0 END) AS RR,
SUM(CASE WHEN YEAR_WEEK = 15 THEN WOW_TIKTOK_POSTS_GROWTH ELSE 0 END) AS SS
FROM (
SELECT *
FROM (
SELECT CM_TRACK, CREATED_AT, SUM(YOUTUBE_VIEWS) AS YT_VIEWS,
SUM(YOUTUBE_VIEWS) - LAG(SUM(YOUTUBE_VIEWS), 7) OVER (ORDER BY CREATED_AT) AS WOW_YT_VIEWS_GROWTH,
SUM(SPOTIFY_PLAYS) - LAG(SUM(SPOTIFY_PLAYS), 7) OVER (ORDER BY CREATED_AT) AS WOW_SPOTIFY_PLAYS_GROWTH,
SUM(TIKTOK_POSTS) - LAG(SUM(TIKTOK_POSTS), 7) OVER (ORDER BY CREATED_AT) AS WOW_TIKTOK_POSTS_GROWTH,
1 + (CREATED_AT - DATE_TRUNC('year', CREATED_AT)) / 7 as YEAR_WEEK
FROM "CHARTMETRIC"."SHARES"."CAPSTONE_TRACK_STATS" AS TS
WHERE CREATED_AT BETWEEN '2021-01-01' AND '2021-12-31'
GROUP BY CREATED_AT, CM_TRACK
ORDER BY 2
)
WHERE YEAR_WEEK = ROUND(YEAR_WEEK, 0))
GROUP BY CM_TRACK, CREATED_AT
ORDER BY CREATED_AT)
GROUP BY CM_TRACK
)
SELECT *
FROM BASE
LEFT JOIN QUARTERS_FINAL USING (CM_TRACK)
LEFT JOIN MOM_FINAL USING(CM_TRACK)
LEFT JOIN WOW_FINAL USING(CM_TRACK)
"""
df=pd.read_sql(q1, conn)
df
/Users/angelikalin/opt/anaconda3/lib/python3.9/site-packages/pandas/io/sql.py:761: UserWarning: pandas only support SQLAlchemy connectable(engine/connection) ordatabase string URI or sqlite3 DBAPI2 connectionother DBAPI2 objects are not tested, please consider using SQLAlchemy warnings.warn(
| CM_TRACK | TRACK_NAME | CM_ALBUM | ALBUM_NAME | RELEASE_DATE | ARTIST_NAME | ARTIST_COUNTRY_CODE2 | COUNTRY_NAME | GENRE_ID | ARTIST_GENRE | ... | WK6_TIKTOK_POSTS_GROWTH | WK7_TIKTOK_POSTS_GROWTH | WK8_TIKTOK_POSTS_GROWTH | WK9_TIKTOK_POSTS_GROWTH | WK10_TIKTOK_POSTS_GROWTH | WK11_TIKTOK_POSTS_GROWTH | WK12_TIKTOK_POSTS_GROWTH | WK13_TIKTOK_POSTS_GROWTH | WK14_TIKTOK_POSTS_GROWTH | WK15_TIKTOK_POSTS_GROWTH | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 11019719 | Keep On Running | 12498342 | Sea of Approval (Deluxe) | 2014-01-01 | Andy Bull | AU | Australia | 462887.0 | Electronic | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 1 | 16011936 | Willing And Able | 1106967 | Diamonds And Pearls | 1991-01-01 | Prince | US | United States | 462884.0 | Rock | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2 | 11162739 | Les Derniers Seront Les Premiers | 711236 | Original Album Classics | 1990-01-01 | Céline Dion | CA | Canada | 462882.0 | Pop | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 3 | 60414497 | Calima | 14685962 | Calima - Single | 2021-09-16 | None | None | None | NaN | None | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 4 | 64718251 | Symphony No. 39 in E-Flat Major, K. 543: IV. F... | 15415581 | Mozart: Symphonies Nos. 38 & 39 | 2021-10-22 | NDR Radiophilharmonie | US | United States | 462882.0 | Pop | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 102540 | 34485129 | Sad Song | 8173893 | Sad Song | 2021-04-14 | Hope Waidley | US | United States | 462882.0 | Pop | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 102541 | 15813972 | Valentine's Day | 889361 | Tunnel Of Love | 1987-09-28 | Bruce Springsteen | US | United States | 462891.0 | Singer/Songwriter | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 102542 | 66304387 | I Deserve (w/ NOS.) | 18951649 | Black Love Is... | 2022-02-10 | Smino | US | United States | 462883.0 | Hip-Hop/Rap | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 102543 | 32822574 | We Were Right | 7475728 | We Were Right | 2021-02-12 | AKA AKA | DE | Germany | 462887.0 | Electronic | ... | 0.0 | 0.0 | -703.0 | 0.0 | -535892.0 | 5.0 | -1183.0 | 0.0 | 0.0 | -649.0 |
| 102544 | 17119125 | I'll Find My Way Home - Remastered | 6939072 | Christmas Chill | 2020-10-30 | Jon & Vangelis | GR | Greece | 462882.0 | Pop | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -245.0 | 0.0 | 0.0 | -18.0 | -254.0 |
102545 rows Ă 153 columns
### Ramdomly sample out 50k songs
df_sample = df.sample(n=50000, random_state=123)
df_sample
| CM_TRACK | TRACK_NAME | CM_ALBUM | ALBUM_NAME | RELEASE_DATE | ARTIST_NAME | ARTIST_COUNTRY_CODE2 | COUNTRY_NAME | GENRE_ID | ARTIST_GENRE | ... | WK6_TIKTOK_POSTS_GROWTH | WK7_TIKTOK_POSTS_GROWTH | WK8_TIKTOK_POSTS_GROWTH | WK9_TIKTOK_POSTS_GROWTH | WK10_TIKTOK_POSTS_GROWTH | WK11_TIKTOK_POSTS_GROWTH | WK12_TIKTOK_POSTS_GROWTH | WK13_TIKTOK_POSTS_GROWTH | WK14_TIKTOK_POSTS_GROWTH | WK15_TIKTOK_POSTS_GROWTH | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63119 | 28343556 | Te Prefiero Lejos | 5653976 | Te Prefiero Lejos | 2020-01-31 | Ilegales | ES | Spain | 462929.0 | Punk | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 35359 | 15464089 | Pour Out A Little Liquor | 2939501 | Wesside Classic, Vol. 1 | 2014-07-29 | 2Pac | US | United States | 462883.0 | Hip-Hop/Rap | ... | 0.0 | -1793.0 | 162.0 | 0.0 | 136.0 | 177.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 46459 | 65313103 | Pages (feat. Rook) | 19843874 | Last Day On Earth | 2022-04-08 | SK8 | US | United States | 462882.0 | Pop | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 99290 | 12307342 | Ma religion dans son regard | 3435571 | L'album de sa vie 50 titres | 2018-09-28 | Johnny Hallyday | FR | France | 462882.0 | Pop | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -23.0 | 0.0 | 0.0 |
| 295 | 48212874 | QUEEN | 11336333 | FEMULINE | 2021-06-08 | Todrick Hall | US | United States | 462883.0 | Hip-Hop/Rap | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 6343 | 11364916 | Kapitel 14 - Der Weihnachtsabend (Folge 051) | 1553845 | Folge 51: Der Weihnachtsabend | 1986-01-01 | Benjamin BlĂŒmchen | DE | Germany | 462932.0 | Spoken Word | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 73522 | 11328739 | Hei, Pippi Langstrumpf | 224606 | The Best of Generation Fernseh-Kult | 2010-01-05 | Pippi Langstrumpf | DE | Germany | 462885.0 | Dance | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 94075 | 20016819 | Will You Sing | 2650049 | Heaven and Earth | 2018-06-22 | Kamasi Washington | US | United States | 462893.0 | Jazz | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 58013 | 15483779 | I Belong To You | 6159205 | You Mean the World to Me: The Best Love Songs ... | 2020-06-12 | Toni Braxton | US | United States | 462889.0 | R&B/Soul | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -5535.0 | 0.0 | -24349.0 |
| 18879 | 15782231 | The Wexford Carol | 63071 | Songs of Joy & Peace | 2008-10-10 | Natalie MacMaster | CA | Canada | 462903.0 | Holiday | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
50000 rows Ă 153 columns
### Create function to replace COUNTRY_NAME with COUNTRY_ID
def country_identity(df):
country = df['COUNTRY_NAME'].to_numpy()
countries_list = []
for x in country:
if x not in countries_list:
countries_list.append(x)
#Create id starting at 1000
df_country_name = df['COUNTRY_NAME']
df_country_id = np.arange(1000, 1000 + len(df.COUNTRY_NAME.unique()),1)
#replace
df['COUNTRY_NAME'].replace(countries_list, df_country_id, inplace = True)
return(df)
country_identity(df_sample)
| CM_TRACK | TRACK_NAME | CM_ALBUM | ALBUM_NAME | RELEASE_DATE | ARTIST_NAME | ARTIST_COUNTRY_CODE2 | COUNTRY_NAME | GENRE_ID | ARTIST_GENRE | ... | WK6_TIKTOK_POSTS_GROWTH | WK7_TIKTOK_POSTS_GROWTH | WK8_TIKTOK_POSTS_GROWTH | WK9_TIKTOK_POSTS_GROWTH | WK10_TIKTOK_POSTS_GROWTH | WK11_TIKTOK_POSTS_GROWTH | WK12_TIKTOK_POSTS_GROWTH | WK13_TIKTOK_POSTS_GROWTH | WK14_TIKTOK_POSTS_GROWTH | WK15_TIKTOK_POSTS_GROWTH | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63119 | 28343556 | Te Prefiero Lejos | 5653976 | Te Prefiero Lejos | 2020-01-31 | Ilegales | ES | 1000 | 462929.0 | Punk | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 35359 | 15464089 | Pour Out A Little Liquor | 2939501 | Wesside Classic, Vol. 1 | 2014-07-29 | 2Pac | US | 1001 | 462883.0 | Hip-Hop/Rap | ... | 0.0 | -1793.0 | 162.0 | 0.0 | 136.0 | 177.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 46459 | 65313103 | Pages (feat. Rook) | 19843874 | Last Day On Earth | 2022-04-08 | SK8 | US | 1001 | 462882.0 | Pop | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 99290 | 12307342 | Ma religion dans son regard | 3435571 | L'album de sa vie 50 titres | 2018-09-28 | Johnny Hallyday | FR | 1002 | 462882.0 | Pop | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -23.0 | 0.0 | 0.0 |
| 295 | 48212874 | QUEEN | 11336333 | FEMULINE | 2021-06-08 | Todrick Hall | US | 1001 | 462883.0 | Hip-Hop/Rap | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 6343 | 11364916 | Kapitel 14 - Der Weihnachtsabend (Folge 051) | 1553845 | Folge 51: Der Weihnachtsabend | 1986-01-01 | Benjamin BlĂŒmchen | DE | 1018 | 462932.0 | Spoken Word | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 73522 | 11328739 | Hei, Pippi Langstrumpf | 224606 | The Best of Generation Fernseh-Kult | 2010-01-05 | Pippi Langstrumpf | DE | 1018 | 462885.0 | Dance | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 94075 | 20016819 | Will You Sing | 2650049 | Heaven and Earth | 2018-06-22 | Kamasi Washington | US | 1001 | 462893.0 | Jazz | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 58013 | 15483779 | I Belong To You | 6159205 | You Mean the World to Me: The Best Love Songs ... | 2020-06-12 | Toni Braxton | US | 1001 | 462889.0 | R&B/Soul | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -5535.0 | 0.0 | -24349.0 |
| 18879 | 15782231 | The Wexford Carol | 63071 | Songs of Joy & Peace | 2008-10-10 | Natalie MacMaster | CA | 1014 | 462903.0 | Holiday | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
50000 rows Ă 153 columns
### Reduce cardinality for genre
from collections import Counter
def cumulatively_categorise(column,threshold=0.75,return_categories_list=True):
#Find the threshold value using the percentage and number of instances in the column
threshold_value=int(threshold*len(column))
#Initialise an empty list for our new minimised categories
categories_list=[]
#Initialise a variable to calculate the sum of frequencies
s=0
#Create a counter dictionary of the form unique_value: frequency
counts=Counter(column)
#Loop through the category name and its corresponding frequency after sorting the categories by descending order of frequency
for i,j in counts.most_common():
#Add the frequency to the global sum
s+=dict(counts)[i]
#Append the category name to the list
categories_list.append(i)
#Check if the global sum has reached the threshold value, if so break the loop
if s>=threshold_value:
break
#Append the category Other to the list
categories_list.append('Other')
#Replace all instances not in our new categories by Other
new_column=column.apply(lambda x: x if x in categories_list else 'Other')
#Return transformed column and unique values if return_categories=True
if(return_categories_list):
return new_column,categories_list
#Return only the transformed column if return_categories=False
else:
return new_column
#Call the function with a default threshold of 75%
transformed_column,new_category_list=cumulatively_categorise(df_sample['ARTIST_GENRE'],return_categories_list=True)
df_sample['genre_new'] = transformed_column
df_sample.genre_new.value_counts()
Other 11611 Pop 7733 Rock 5377 Hip-Hop/Rap 5187 Latin 2524 Electronic 2299 Alternative 2270 R&B/Soul 2201 Dance 1503 J-Pop 1481 Country 1443 Jazz 1236 House 1123 Latin Pop 1110 Name: genre_new, dtype: int64
### Hot encode Genre
def its_hot(df):
genre_dummies = pd.get_dummies(df.genre_new)
df = pd.concat([df, genre_dummies], axis=1)
return df
df_sample = its_hot(df_sample)
pd.set_option('display.max_columns', None)
df_sample
| CM_TRACK | TRACK_NAME | CM_ALBUM | ALBUM_NAME | RELEASE_DATE | ARTIST_NAME | ARTIST_COUNTRY_CODE2 | COUNTRY_NAME | GENRE_ID | ARTIST_GENRE | DUPE | Q1_YOUTUBE_VIEWS_GROWTH | Q1_YOUTUBE_LIKES_GROWTH | Q1_SPOTIFY_PLAYS_GROWTH | Q1_SPOTIFY_POPULARITY_GROWTH | Q1_TIKTOK_POSTS_GROWTH | Q1_AIRPLAY_STREAMS_GROWTH | Q2_YOUTUBE_VIEWS_GROWTH | Q2_YOUTUBE_LIKES_GROWTH | Q2_SPOTIFY_PLAYS_GROWTH | Q2_SPOTIFY_POPULARITY_GROWTH | Q2_TIKTOK_POSTS_GROWTH | Q2_AIRPLAY_STREAMS_GROWTH | Q3_YOUTUBE_VIEWS_GROWTH | Q3_YOUTUBE_LIKES_GROWTH | Q3_SPOTIFY_PLAYS_GROWTH | Q3_SPOTIFY_POPULARITY_GROWTH | Q3_TIKTOK_POSTS_GROWTH | Q3_AIRPLAY_STREAMS_GROWTH | Q4_YOUTUBE_VIEWS_GROWTH | Q4_YOUTUBE_LIKES_GROWTH | Q4_SPOTIFY_PLAYS_GROWTH | Q4_SPOTIFY_POPULARITY_GROWTH | Q4_TIKTOK_POSTS_GROWTH | Q4_AIRPLAY_STREAMS_GROWTH | GENRE | M1_YOUTUBE_VIEWS_GROWTH | M2_YOUTUBE_VIEWS_GROWTH | M3_YOUTUBE_VIEWS_GROWTH | M4_YOUTUBE_VIEWS_GROWTH | M5_YOUTUBE_VIEWS_GROWTH | M6_YOUTUBE_VIEWS_GROWTH | M7_YOUTUBE_VIEWS_GROWTH | M8_YOUTUBE_VIEWS_GROWTH | M9_YOUTUBE_VIEWS_GROWTH | M10_YOUTUBE_VIEWS_GROWTH | M11_YOUTUBE_VIEWS_GROWTH | M12_YOUTUBE_VIEWS_GROWTH | M1_YOUTUBE_LIKES_GROWTH | M2_YOUTUBE_LIKES_GROWTH | M3_YOUTUBE_LIKES_GROWTH | M4_YOUTUBE_LIKES_GROWTH | M5_YOUTUBE_LIKES_GROWTH | M6_YOUTUBE_LIKES_GROWTH | M7_YOUTUBE_LIKES_GROWTH | M8_YOUTUBE_LIKES_GROWTH | M9_YOUTUBE_LIKES_GROWTH | M10_YOUTUBE_LIKES_GROWTH | M11_YOUTUBE_LIKES_GROWTH | M12_YOUTUBE_LIKES_GROWTH | M1_SPOTIFY_PLAYS_GROWTH | M2_SPOTIFY_PLAYS_GROWTH | M3_SPOTIFY_PLAYS_GROWTH | M4_SPOTIFY_PLAYS_GROWTH | M5_SPOTIFY_PLAYS_GROWTH | M6_SPOTIFY_PLAYS_GROWTH | M7_SPOTIFY_PLAYS_GROWTH | M8_SPOTIFY_PLAYS_GROWTH | M9_SPOTIFY_PLAYS_GROWTH | M10_SPOTIFY_PLAYS_GROWTH | M11_SPOTIFY_PLAYS_GROWTH | M12_SPOTIFY_PLAYS_GROWTH | M1_SPOTIFY_POPULARITY_GROWTH | M2_SPOTIFY_POPULARITY_GROWTH | M3_SPOTIFY_POPULARITY_GROWTH | M4_SPOTIFY_POPULARITY_GROWTH | M5_SPOTIFY_POPULARITY_GROWTH | M6_SPOTIFY_POPULARITY_GROWTH | M7_SPOTIFY_POPULARITY_GROWTH | M8_SPOTIFY_POPULARITY_GROWTH | M9_SPOTIFY_POPULARITY_GROWTH | M10_SPOTIFY_POPULARITY_GROWTH | M11_SPOTIFY_POPULARITY_GROWTH | M12_SPOTIFY_POPULARITY_GROWTH | M1_TIKTOK_POSTS_GROWTH | M2_TIKTOK_POSTS_GROWTH | M3_TIKTOK_POSTS_GROWTH | M4_TIKTOK_POSTS_GROWTH | M5_TIKTOK_POSTS_GROWTH | M6_TIKTOK_POSTS_GROWTH | M7_TIKTOK_POSTS_GROWTH | M8_TIKTOK_POSTS_GROWTH | M9_TIKTOK_POSTS_GROWTH | M10_TIKTOK_POSTS_GROWTH | M11_TIKTOK_POSTS_GROWTH | M12_TIKTOK_POSTS_GROWTH | M1_AIRPLAY_STREAMS_GROWTH | M2_AIRPLAY_STREAMS_GROWTH | M3_AIRPLAY_STREAMS_GROWTH | M4_AIRPLAY_STREAMS_GROWTH | M5_AIRPLAY_STREAMS_GROWTH | M6_AIRPLAY_STREAMS_GROWTH | M7_AIRPLAY_STREAMS_GROWTH | M8_AIRPLAY_STREAMS_GROWTH | M9_AIRPLAY_STREAMS_GROWTH | M10_AIRPLAY_STREAMS_GROWTH | M11_AIRPLAY_STREAMS_GROWTH | M12_AIRPLAY_STREAMS_GROWTH | WK1_YT_VIEWS_GROWTH | WK2_YT_VIEWS_GROWTH | WK3_YT_VIEWS_GROWTH | WK4_YT_VIEWS_GROWTH | WK5_YT_VIEWS_GROWTH | WK6_YT_VIEWS_GROWTH | WK7_YT_VIEWS_GROWTH | WK8_YT_VIEWS_GROWTH | WK9_YT_VIEWS_GROWTH | WK10_YT_VIEWS_GROWTH | WK11_YT_VIEWS_GROWTH | WK12_YT_VIEWS_GROWTH | WK13_YT_VIEWS_GROWTH | WK14_YT_VIEWS_GROWTH | WK15_YT_VIEWS_GROWTH | WK1_SPOTIFY_PLAYS_GROWTH | WK2_SPOTIFY_PLAYS_GROWTH | WK3_SPOTIFY_PLAYS_GROWTH | WK4_SPOTIFY_PLAYS_GROWTH | WK5_SPOTIFY_PLAYS_GROWTH | WK6_SPOTIFY_PLAYS_GROWTH | WK7_SPOTIFY_PLAYS_GROWTH | WK8_SPOTIFY_PLAYS_GROWTH | WK9_SPOTIFY_PLAYS_GROWTH | WK10_SPOTIFY_PLAYS_GROWTH | WK11_SPOTIFY_PLAYS_GROWTH | WK12_SPOTIFY_PLAYS_GROWTH | WK13_SPOTIFY_PLAYS_GROWTH | WK14_SPOTIFY_PLAYS_GROWTH | WK15_SPOTIFY_PLAYS_GROWTH | WK1_TIKTOK_POSTS_GROWTH | WK2_TIKTOK_POSTS_GROWTH | WK3_TIKTOK_POSTS_GROWTH | WK4_TIKTOK_POSTS_GROWTH | WK5_TIKTOK_POSTS_GROWTH | WK6_TIKTOK_POSTS_GROWTH | WK7_TIKTOK_POSTS_GROWTH | WK8_TIKTOK_POSTS_GROWTH | WK9_TIKTOK_POSTS_GROWTH | WK10_TIKTOK_POSTS_GROWTH | WK11_TIKTOK_POSTS_GROWTH | WK12_TIKTOK_POSTS_GROWTH | WK13_TIKTOK_POSTS_GROWTH | WK14_TIKTOK_POSTS_GROWTH | WK15_TIKTOK_POSTS_GROWTH | genre_new | Alternative | Country | Dance | Electronic | Hip-Hop/Rap | House | J-Pop | Jazz | Latin | Latin Pop | Other | Pop | R&B/Soul | Rock | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63119 | 28343556 | Te Prefiero Lejos | 5653976 | Te Prefiero Lejos | 2020-01-31 | Ilegales | ES | 1000 | 462929.0 | Punk | 1 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -6.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | 0.0 | 0.0 | Latin | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | Other | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| 35359 | 15464089 | Pour Out A Little Liquor | 2939501 | Wesside Classic, Vol. 1 | 2014-07-29 | 2Pac | US | 1001 | 462883.0 | Hip-Hop/Rap | 1 | 0.0 | 0.0 | 0.0 | 49.0 | 25.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 10.0 | 0.0 | 0.0 | 0.0 | 456925.0 | -35.0 | 0.0 | 0.0 | 0.0 | 0.0 | 512246.0 | 37.0 | 0.0 | 0.0 | Hip-Hop/Rap | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 155876.0 | 145978.0 | 162369.0 | 148578.0 | 166433.0 | 161453.0 | 184360.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 35.0 | 1.0 | 0.0 | 17.0 | 5.0 | 13.0 | 0.0 | 0.0 | 14.0 | 16.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1793.0 | 162.0 | 0.0 | 136.0 | 177.0 | 0.0 | 0.0 | 0.0 | 0.0 | Hip-Hop/Rap | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 46459 | 65313103 | Pages (feat. Rook) | 19843874 | Last Day On Earth | 2022-04-08 | SK8 | US | 1001 | 462882.0 | Pop | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | Dance | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 17506.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | Pop | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| 99290 | 12307342 | Ma religion dans son regard | 3435571 | L'album de sa vie 50 titres | 2018-09-28 | Johnny Hallyday | FR | 1002 | 462882.0 | Pop | 1 | 0.0 | 0.0 | 0.0 | 38.0 | 16.0 | 10.0 | 0.0 | 0.0 | 0.0 | -2.0 | 20.0 | 12.0 | 0.0 | 0.0 | 0.0 | -23.0 | 6.0 | 9.0 | 0.0 | 0.0 | 0.0 | 3.0 | 68.0 | 13.0 | Pop | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 13.0 | 0.0 | 7.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 11.0 | 8.0 | 0.0 | 8.0 | 0.0 | 46.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | 3.0 | 4.0 | 5.0 | 4.0 | 2.0 | 3.0 | 4.0 | 2.0 | 7.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -23.0 | 0.0 | 0.0 | Pop | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| 295 | 48212874 | QUEEN | 11336333 | FEMULINE | 2021-06-08 | Todrick Hall | US | 1001 | 462883.0 | Hip-Hop/Rap | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -53.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0.0 | 0.0 | Dance | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 45.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 124.0 | 25.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | Hip-Hop/Rap | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 6343 | 11364916 | Kapitel 14 - Der Weihnachtsabend (Folge 051) | 1553845 | Folge 51: Der Weihnachtsabend | 1986-01-01 | Benjamin BlĂŒmchen | DE | 1018 | 462932.0 | Spoken Word | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | Children's Music | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | 3.0 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | Other | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| 73522 | 11328739 | Hei, Pippi Langstrumpf | 224606 | The Best of Generation Fernseh-Kult | 2010-01-05 | Pippi Langstrumpf | DE | 1018 | 462885.0 | Dance | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0.0 | -6.0 | 0.0 | 17.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 29.0 | 0.0 | 0.0 | 290200.0 | 0.0 | 0.0 | 8.0 | Dance | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 79860.0 | 94450.0 | 113454.0 | 95626.0 | 81120.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 2.0 | 4.0 | 11.0 | 9.0 | 2.0 | 18.0 | 2.0 | 2.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | Dance | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 94075 | 20016819 | Will You Sing | 2650049 | Heaven and Earth | 2018-06-22 | Kamasi Washington | US | 1001 | 462893.0 | Jazz | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 21.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0.0 | 0.0 | Jazz | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 18.0 | 0.0 | 3.0 | 0.0 | 19.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | Jazz | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 58013 | 15483779 | I Belong To You | 6159205 | You Mean the World to Me: The Best Love Songs ... | 2020-06-12 | Toni Braxton | US | 1001 | 462889.0 | R&B/Soul | 1 | 0.0 | 0.0 | 0.0 | 30.0 | 0.0 | 18.0 | 0.0 | 0.0 | 0.0 | 1.0 | 12.0 | 12.0 | 0.0 | 0.0 | 0.0 | -31.0 | 10.0 | 6.0 | 0.0 | 0.0 | 0.0 | 3.0 | 17.0 | 10.0 | Dance | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 28.0 | 0.0 | 0.0 | 2.0 | 1.0 | 0.0 | 5.0 | 0.0 | 0.0 | 0.0 | 6.0 | 5.0 | 1.0 | 0.0 | 0.0 | 13.0 | 4.0 | 0.0 | 84.0 | 0.0 | 3.0 | 4.0 | 3.0 | 5.0 | 4.0 | 1.0 | 5.0 | 0.0 | 4.0 | 5.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -5535.0 | 0.0 | -24349.0 | R&B/Soul | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 18879 | 15782231 | The Wexford Carol | 63071 | Songs of Joy & Peace | 2008-10-10 | Natalie MacMaster | CA | 1014 | 462903.0 | Holiday | 1 | 4452837.0 | 242.0 | 0.0 | 0.0 | 0.0 | 0.0 | 17360.0 | 99.0 | 0.0 | -2.0 | 0.0 | 1.0 | 17681.0 | 149.0 | 0.0 | -2.0 | 0.0 | 0.0 | 332171.0 | 5727.0 | 0.0 | -14.0 | 0.0 | 37.0 | Bluegrass | 0.0 | 11908.0 | 9393.0 | 6273.0 | 6181.0 | 4906.0 | 4981.0 | 6277.0 | 6423.0 | 10964.0 | 22193.0 | 299014.0 | 0.0 | 51.0 | 59.0 | 33.0 | 36.0 | 30.0 | 36.0 | 51.0 | 62.0 | 96.0 | 281.0 | 5350.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 139654.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 14.0 | 23.0 | 0.0 | 0.0 | 2767948.0 | 3637632.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4358538.0 | 0.0 | 2977198.0 | 0.0 | 0.0 | 2086151.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | Other | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
50000 rows Ă 168 columns
### Remove generic columns
df_sample=df_sample.loc[:, df_sample.columns.drop(['CM_TRACK','CM_ALBUM','ALBUM_NAME','RELEASE_DATE',
'ARTIST_NAME', 'ARTIST_COUNTRY_CODE2', 'GENRE_ID',
'ARTIST_GENRE' ,'DUPE', 'GENRE', 'genre_new'])]
### Remove any NaNs
def clean_dataset(df):
df = df.set_index('TRACK_NAME')
assert isinstance(df, pd.DataFrame), "df needs to be a pd.DataFrame"
df.dropna(inplace=True)
indices_to_keep = ~df.isin([np.nan, np.inf, -np.inf]).any(1)
return df[indices_to_keep].astype(np.float64)
df_sample = clean_dataset(df_sample)
### Scale data
#df_sample = df_sample.set_index('TRACK_NAME')
from sklearn.preprocessing import StandardScaler #used for 'Feature Scaling'
scaler = StandardScaler()
df_sample_scaled = pd.DataFrame(scaler.fit_transform(df_sample), index=df_sample.index, columns=df_sample.columns)
display('original',df_sample.head(2),'scaled',df_sample_scaled.head(2))
'original'
| COUNTRY_NAME | Q1_YOUTUBE_VIEWS_GROWTH | Q1_YOUTUBE_LIKES_GROWTH | Q1_SPOTIFY_PLAYS_GROWTH | Q1_SPOTIFY_POPULARITY_GROWTH | Q1_TIKTOK_POSTS_GROWTH | Q1_AIRPLAY_STREAMS_GROWTH | Q2_YOUTUBE_VIEWS_GROWTH | Q2_YOUTUBE_LIKES_GROWTH | Q2_SPOTIFY_PLAYS_GROWTH | Q2_SPOTIFY_POPULARITY_GROWTH | Q2_TIKTOK_POSTS_GROWTH | Q2_AIRPLAY_STREAMS_GROWTH | Q3_YOUTUBE_VIEWS_GROWTH | Q3_YOUTUBE_LIKES_GROWTH | Q3_SPOTIFY_PLAYS_GROWTH | Q3_SPOTIFY_POPULARITY_GROWTH | Q3_TIKTOK_POSTS_GROWTH | Q3_AIRPLAY_STREAMS_GROWTH | Q4_YOUTUBE_VIEWS_GROWTH | Q4_YOUTUBE_LIKES_GROWTH | Q4_SPOTIFY_PLAYS_GROWTH | Q4_SPOTIFY_POPULARITY_GROWTH | Q4_TIKTOK_POSTS_GROWTH | Q4_AIRPLAY_STREAMS_GROWTH | M1_YOUTUBE_VIEWS_GROWTH | M2_YOUTUBE_VIEWS_GROWTH | M3_YOUTUBE_VIEWS_GROWTH | M4_YOUTUBE_VIEWS_GROWTH | M5_YOUTUBE_VIEWS_GROWTH | M6_YOUTUBE_VIEWS_GROWTH | M7_YOUTUBE_VIEWS_GROWTH | M8_YOUTUBE_VIEWS_GROWTH | M9_YOUTUBE_VIEWS_GROWTH | M10_YOUTUBE_VIEWS_GROWTH | M11_YOUTUBE_VIEWS_GROWTH | M12_YOUTUBE_VIEWS_GROWTH | M1_YOUTUBE_LIKES_GROWTH | M2_YOUTUBE_LIKES_GROWTH | M3_YOUTUBE_LIKES_GROWTH | M4_YOUTUBE_LIKES_GROWTH | M5_YOUTUBE_LIKES_GROWTH | M6_YOUTUBE_LIKES_GROWTH | M7_YOUTUBE_LIKES_GROWTH | M8_YOUTUBE_LIKES_GROWTH | M9_YOUTUBE_LIKES_GROWTH | M10_YOUTUBE_LIKES_GROWTH | M11_YOUTUBE_LIKES_GROWTH | M12_YOUTUBE_LIKES_GROWTH | M1_SPOTIFY_PLAYS_GROWTH | M2_SPOTIFY_PLAYS_GROWTH | M3_SPOTIFY_PLAYS_GROWTH | M4_SPOTIFY_PLAYS_GROWTH | M5_SPOTIFY_PLAYS_GROWTH | M6_SPOTIFY_PLAYS_GROWTH | M7_SPOTIFY_PLAYS_GROWTH | M8_SPOTIFY_PLAYS_GROWTH | M9_SPOTIFY_PLAYS_GROWTH | M10_SPOTIFY_PLAYS_GROWTH | M11_SPOTIFY_PLAYS_GROWTH | M12_SPOTIFY_PLAYS_GROWTH | M1_SPOTIFY_POPULARITY_GROWTH | M2_SPOTIFY_POPULARITY_GROWTH | M3_SPOTIFY_POPULARITY_GROWTH | M4_SPOTIFY_POPULARITY_GROWTH | M5_SPOTIFY_POPULARITY_GROWTH | M6_SPOTIFY_POPULARITY_GROWTH | M7_SPOTIFY_POPULARITY_GROWTH | M8_SPOTIFY_POPULARITY_GROWTH | M9_SPOTIFY_POPULARITY_GROWTH | M10_SPOTIFY_POPULARITY_GROWTH | M11_SPOTIFY_POPULARITY_GROWTH | M12_SPOTIFY_POPULARITY_GROWTH | M1_TIKTOK_POSTS_GROWTH | M2_TIKTOK_POSTS_GROWTH | M3_TIKTOK_POSTS_GROWTH | M4_TIKTOK_POSTS_GROWTH | M5_TIKTOK_POSTS_GROWTH | M6_TIKTOK_POSTS_GROWTH | M7_TIKTOK_POSTS_GROWTH | M8_TIKTOK_POSTS_GROWTH | M9_TIKTOK_POSTS_GROWTH | M10_TIKTOK_POSTS_GROWTH | M11_TIKTOK_POSTS_GROWTH | M12_TIKTOK_POSTS_GROWTH | M1_AIRPLAY_STREAMS_GROWTH | M2_AIRPLAY_STREAMS_GROWTH | M3_AIRPLAY_STREAMS_GROWTH | M4_AIRPLAY_STREAMS_GROWTH | M5_AIRPLAY_STREAMS_GROWTH | M6_AIRPLAY_STREAMS_GROWTH | M7_AIRPLAY_STREAMS_GROWTH | M8_AIRPLAY_STREAMS_GROWTH | M9_AIRPLAY_STREAMS_GROWTH | M10_AIRPLAY_STREAMS_GROWTH | M11_AIRPLAY_STREAMS_GROWTH | M12_AIRPLAY_STREAMS_GROWTH | WK1_YT_VIEWS_GROWTH | WK2_YT_VIEWS_GROWTH | WK3_YT_VIEWS_GROWTH | WK4_YT_VIEWS_GROWTH | WK5_YT_VIEWS_GROWTH | WK6_YT_VIEWS_GROWTH | WK7_YT_VIEWS_GROWTH | WK8_YT_VIEWS_GROWTH | WK9_YT_VIEWS_GROWTH | WK10_YT_VIEWS_GROWTH | WK11_YT_VIEWS_GROWTH | WK12_YT_VIEWS_GROWTH | WK13_YT_VIEWS_GROWTH | WK14_YT_VIEWS_GROWTH | WK15_YT_VIEWS_GROWTH | WK1_SPOTIFY_PLAYS_GROWTH | WK2_SPOTIFY_PLAYS_GROWTH | WK3_SPOTIFY_PLAYS_GROWTH | WK4_SPOTIFY_PLAYS_GROWTH | WK5_SPOTIFY_PLAYS_GROWTH | WK6_SPOTIFY_PLAYS_GROWTH | WK7_SPOTIFY_PLAYS_GROWTH | WK8_SPOTIFY_PLAYS_GROWTH | WK9_SPOTIFY_PLAYS_GROWTH | WK10_SPOTIFY_PLAYS_GROWTH | WK11_SPOTIFY_PLAYS_GROWTH | WK12_SPOTIFY_PLAYS_GROWTH | WK13_SPOTIFY_PLAYS_GROWTH | WK14_SPOTIFY_PLAYS_GROWTH | WK15_SPOTIFY_PLAYS_GROWTH | WK1_TIKTOK_POSTS_GROWTH | WK2_TIKTOK_POSTS_GROWTH | WK3_TIKTOK_POSTS_GROWTH | WK4_TIKTOK_POSTS_GROWTH | WK5_TIKTOK_POSTS_GROWTH | WK6_TIKTOK_POSTS_GROWTH | WK7_TIKTOK_POSTS_GROWTH | WK8_TIKTOK_POSTS_GROWTH | WK9_TIKTOK_POSTS_GROWTH | WK10_TIKTOK_POSTS_GROWTH | WK11_TIKTOK_POSTS_GROWTH | WK12_TIKTOK_POSTS_GROWTH | WK13_TIKTOK_POSTS_GROWTH | WK14_TIKTOK_POSTS_GROWTH | WK15_TIKTOK_POSTS_GROWTH | Alternative | Country | Dance | Electronic | Hip-Hop/Rap | House | J-Pop | Jazz | Latin | Latin Pop | Other | Pop | R&B/Soul | Rock | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TRACK_NAME | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Te Prefiero Lejos | 1000.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -6.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 |
| Pour Out A Little Liquor | 1001.0 | 0.0 | 0.0 | 0.0 | 49.0 | 25.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 10.0 | 0.0 | 0.0 | 0.0 | 456925.0 | -35.0 | 0.0 | 0.0 | 0.0 | 0.0 | 512246.0 | 37.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 155876.0 | 145978.0 | 162369.0 | 148578.0 | 166433.0 | 161453.0 | 184360.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 35.0 | 1.0 | 0.0 | 17.0 | 5.0 | 13.0 | 0.0 | 0.0 | 14.0 | 16.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1793.0 | 162.0 | 0.0 | 136.0 | 177.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
'scaled'
| COUNTRY_NAME | Q1_YOUTUBE_VIEWS_GROWTH | Q1_YOUTUBE_LIKES_GROWTH | Q1_SPOTIFY_PLAYS_GROWTH | Q1_SPOTIFY_POPULARITY_GROWTH | Q1_TIKTOK_POSTS_GROWTH | Q1_AIRPLAY_STREAMS_GROWTH | Q2_YOUTUBE_VIEWS_GROWTH | Q2_YOUTUBE_LIKES_GROWTH | Q2_SPOTIFY_PLAYS_GROWTH | Q2_SPOTIFY_POPULARITY_GROWTH | Q2_TIKTOK_POSTS_GROWTH | Q2_AIRPLAY_STREAMS_GROWTH | Q3_YOUTUBE_VIEWS_GROWTH | Q3_YOUTUBE_LIKES_GROWTH | Q3_SPOTIFY_PLAYS_GROWTH | Q3_SPOTIFY_POPULARITY_GROWTH | Q3_TIKTOK_POSTS_GROWTH | Q3_AIRPLAY_STREAMS_GROWTH | Q4_YOUTUBE_VIEWS_GROWTH | Q4_YOUTUBE_LIKES_GROWTH | Q4_SPOTIFY_PLAYS_GROWTH | Q4_SPOTIFY_POPULARITY_GROWTH | Q4_TIKTOK_POSTS_GROWTH | Q4_AIRPLAY_STREAMS_GROWTH | M1_YOUTUBE_VIEWS_GROWTH | M2_YOUTUBE_VIEWS_GROWTH | M3_YOUTUBE_VIEWS_GROWTH | M4_YOUTUBE_VIEWS_GROWTH | M5_YOUTUBE_VIEWS_GROWTH | M6_YOUTUBE_VIEWS_GROWTH | M7_YOUTUBE_VIEWS_GROWTH | M8_YOUTUBE_VIEWS_GROWTH | M9_YOUTUBE_VIEWS_GROWTH | M10_YOUTUBE_VIEWS_GROWTH | M11_YOUTUBE_VIEWS_GROWTH | M12_YOUTUBE_VIEWS_GROWTH | M1_YOUTUBE_LIKES_GROWTH | M2_YOUTUBE_LIKES_GROWTH | M3_YOUTUBE_LIKES_GROWTH | M4_YOUTUBE_LIKES_GROWTH | M5_YOUTUBE_LIKES_GROWTH | M6_YOUTUBE_LIKES_GROWTH | M7_YOUTUBE_LIKES_GROWTH | M8_YOUTUBE_LIKES_GROWTH | M9_YOUTUBE_LIKES_GROWTH | M10_YOUTUBE_LIKES_GROWTH | M11_YOUTUBE_LIKES_GROWTH | M12_YOUTUBE_LIKES_GROWTH | M1_SPOTIFY_PLAYS_GROWTH | M2_SPOTIFY_PLAYS_GROWTH | M3_SPOTIFY_PLAYS_GROWTH | M4_SPOTIFY_PLAYS_GROWTH | M5_SPOTIFY_PLAYS_GROWTH | M6_SPOTIFY_PLAYS_GROWTH | M7_SPOTIFY_PLAYS_GROWTH | M8_SPOTIFY_PLAYS_GROWTH | M9_SPOTIFY_PLAYS_GROWTH | M10_SPOTIFY_PLAYS_GROWTH | M11_SPOTIFY_PLAYS_GROWTH | M12_SPOTIFY_PLAYS_GROWTH | M1_SPOTIFY_POPULARITY_GROWTH | M2_SPOTIFY_POPULARITY_GROWTH | M3_SPOTIFY_POPULARITY_GROWTH | M4_SPOTIFY_POPULARITY_GROWTH | M5_SPOTIFY_POPULARITY_GROWTH | M6_SPOTIFY_POPULARITY_GROWTH | M7_SPOTIFY_POPULARITY_GROWTH | M8_SPOTIFY_POPULARITY_GROWTH | M9_SPOTIFY_POPULARITY_GROWTH | M10_SPOTIFY_POPULARITY_GROWTH | M11_SPOTIFY_POPULARITY_GROWTH | M12_SPOTIFY_POPULARITY_GROWTH | M1_TIKTOK_POSTS_GROWTH | M2_TIKTOK_POSTS_GROWTH | M3_TIKTOK_POSTS_GROWTH | M4_TIKTOK_POSTS_GROWTH | M5_TIKTOK_POSTS_GROWTH | M6_TIKTOK_POSTS_GROWTH | M7_TIKTOK_POSTS_GROWTH | M8_TIKTOK_POSTS_GROWTH | M9_TIKTOK_POSTS_GROWTH | M10_TIKTOK_POSTS_GROWTH | M11_TIKTOK_POSTS_GROWTH | M12_TIKTOK_POSTS_GROWTH | M1_AIRPLAY_STREAMS_GROWTH | M2_AIRPLAY_STREAMS_GROWTH | M3_AIRPLAY_STREAMS_GROWTH | M4_AIRPLAY_STREAMS_GROWTH | M5_AIRPLAY_STREAMS_GROWTH | M6_AIRPLAY_STREAMS_GROWTH | M7_AIRPLAY_STREAMS_GROWTH | M8_AIRPLAY_STREAMS_GROWTH | M9_AIRPLAY_STREAMS_GROWTH | M10_AIRPLAY_STREAMS_GROWTH | M11_AIRPLAY_STREAMS_GROWTH | M12_AIRPLAY_STREAMS_GROWTH | WK1_YT_VIEWS_GROWTH | WK2_YT_VIEWS_GROWTH | WK3_YT_VIEWS_GROWTH | WK4_YT_VIEWS_GROWTH | WK5_YT_VIEWS_GROWTH | WK6_YT_VIEWS_GROWTH | WK7_YT_VIEWS_GROWTH | WK8_YT_VIEWS_GROWTH | WK9_YT_VIEWS_GROWTH | WK10_YT_VIEWS_GROWTH | WK11_YT_VIEWS_GROWTH | WK12_YT_VIEWS_GROWTH | WK13_YT_VIEWS_GROWTH | WK14_YT_VIEWS_GROWTH | WK15_YT_VIEWS_GROWTH | WK1_SPOTIFY_PLAYS_GROWTH | WK2_SPOTIFY_PLAYS_GROWTH | WK3_SPOTIFY_PLAYS_GROWTH | WK4_SPOTIFY_PLAYS_GROWTH | WK5_SPOTIFY_PLAYS_GROWTH | WK6_SPOTIFY_PLAYS_GROWTH | WK7_SPOTIFY_PLAYS_GROWTH | WK8_SPOTIFY_PLAYS_GROWTH | WK9_SPOTIFY_PLAYS_GROWTH | WK10_SPOTIFY_PLAYS_GROWTH | WK11_SPOTIFY_PLAYS_GROWTH | WK12_SPOTIFY_PLAYS_GROWTH | WK13_SPOTIFY_PLAYS_GROWTH | WK14_SPOTIFY_PLAYS_GROWTH | WK15_SPOTIFY_PLAYS_GROWTH | WK1_TIKTOK_POSTS_GROWTH | WK2_TIKTOK_POSTS_GROWTH | WK3_TIKTOK_POSTS_GROWTH | WK4_TIKTOK_POSTS_GROWTH | WK5_TIKTOK_POSTS_GROWTH | WK6_TIKTOK_POSTS_GROWTH | WK7_TIKTOK_POSTS_GROWTH | WK8_TIKTOK_POSTS_GROWTH | WK9_TIKTOK_POSTS_GROWTH | WK10_TIKTOK_POSTS_GROWTH | WK11_TIKTOK_POSTS_GROWTH | WK12_TIKTOK_POSTS_GROWTH | WK13_TIKTOK_POSTS_GROWTH | WK14_TIKTOK_POSTS_GROWTH | WK15_TIKTOK_POSTS_GROWTH | Alternative | Country | Dance | Electronic | Hip-Hop/Rap | House | J-Pop | Jazz | Latin | Latin Pop | Other | Pop | R&B/Soul | Rock | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TRACK_NAME | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Te Prefiero Lejos | -0.801913 | -0.066995 | -0.078786 | -0.028792 | -0.588250 | -0.096746 | -0.038017 | -0.01681 | -0.017012 | -0.014578 | -0.512871 | -0.082558 | -0.082867 | -0.010637 | -0.019187 | -0.040787 | 0.322898 | 0.047209 | -0.061612 | -0.024661 | -0.022676 | -0.115446 | 0.380679 | -0.099082 | -0.086349 | 0.0 | -0.045817 | -0.063735 | -0.066255 | -0.064269 | -0.071527 | -0.036888 | -0.038715 | -0.046073 | -0.039754 | -0.045333 | -0.048384 | 0.0 | -0.047626 | -0.063571 | -0.061336 | -0.063292 | -0.055601 | -0.031456 | -0.041776 | -0.052006 | -0.042994 | -0.038376 | -0.043929 | 0.0 | -0.028637 | -0.028579 | -0.028214 | -0.028046 | -0.153532 | -0.151827 | -0.103864 | -0.019720 | -0.127255 | -0.022176 | -0.101869 | 0.0 | -0.239679 | -0.311199 | -0.238074 | -0.284444 | -0.271678 | -0.235229 | -0.242684 | -0.26056 | -0.003946 | -0.254593 | 0.708040 | 0.0 | -0.054837 | -0.088185 | -0.084232 | -0.090177 | -0.097749 | -0.082555 | -0.108085 | -0.074872 | -0.078152 | -0.093411 | -0.084281 | 0.0 | -0.032617 | -0.030574 | -0.048919 | -0.112104 | -0.10608 | -0.053721 | -0.067381 | -0.069875 | -0.090428 | -0.08831 | -0.081067 | 0.002849 | 0.021138 | 0.023017 | 0.028546 | 0.036744 | 0.023692 | 0.023985 | 0.028802 | 0.037078 | 0.045087 | 0.042905 | 0.045856 | 0.035091 | 0.042129 | 0.036897 | 0.007607 | 0.003512 | 0.005857 | 0.00048 | 0.008648 | -0.002804 | 0.005426 | -0.001721 | 0.000358 | -0.000742 | 0.008724 | 0.006673 | 0.004161 | 0.005506 | 0.009518 | 0.005755 | 0.009826 | 0.009818 | 0.009259 | 0.01862 | 0.015899 | 0.016524 | 0.022105 | 0.02297 | 0.021076 | 0.021456 | 0.014533 | 0.017734 | 0.023244 | 0.02306 | -0.219166 | -0.173361 | -0.176035 | -0.218807 | -0.337095 | -0.151033 | -0.174733 | -0.160541 | -0.229381 | -0.150181 | 1.810576 | -0.428909 | -0.214563 | -0.348573 |
| Pour Out A Little Liquor | -0.713816 | -0.066995 | -0.078786 | -0.028792 | 2.208278 | 0.029257 | -0.036984 | -0.01681 | -0.017012 | -0.014578 | 0.051900 | -0.006332 | -0.082867 | -0.010637 | -0.019187 | 0.078347 | -1.886162 | 0.047209 | -0.061612 | -0.024661 | -0.022676 | 0.188656 | 3.552841 | -0.099082 | -0.086349 | 0.0 | -0.045817 | -0.063735 | -0.066255 | -0.064269 | -0.071527 | -0.036888 | -0.038715 | -0.046073 | -0.039754 | -0.045333 | -0.048384 | 0.0 | -0.047626 | -0.063571 | -0.061336 | -0.063292 | -0.055601 | -0.031456 | -0.041776 | -0.052006 | -0.042994 | -0.038376 | -0.043929 | 0.0 | -0.028637 | -0.028579 | -0.028214 | -0.028046 | 0.314375 | 0.287159 | 0.185762 | 0.020282 | 0.199781 | 0.019807 | 0.086437 | 0.0 | -0.239679 | -0.214722 | -0.238074 | -0.165289 | -0.271678 | -0.235229 | -0.242684 | -0.26056 | -0.173262 | 5.289707 | -0.093385 | 0.0 | 0.126956 | -0.007015 | 0.124935 | -0.090177 | -0.097749 | 0.154872 | 0.035391 | -0.074872 | -0.078152 | -0.093411 | -0.084281 | 0.0 | -0.032617 | -0.030574 | -0.048919 | -0.112104 | -0.10608 | -0.053721 | -0.067381 | -0.069875 | -0.090428 | -0.08831 | -0.081067 | 0.002849 | 0.021138 | 0.023017 | 0.028546 | 0.036744 | 0.023692 | 0.023985 | 0.028802 | 0.037078 | 0.045087 | 0.042905 | 0.045856 | 0.035091 | 0.042129 | 0.036897 | 0.007607 | 0.003512 | 0.005857 | 0.00048 | 0.008648 | -0.002804 | 0.005426 | -0.001721 | 0.000358 | -0.000742 | 0.008724 | 0.006673 | 0.004161 | 0.005506 | 0.009518 | 0.005755 | 0.009826 | 0.009818 | 0.009259 | 0.01862 | 0.015899 | -0.017350 | 0.025456 | 0.02297 | 0.022307 | 0.023849 | 0.014533 | 0.017734 | 0.023244 | 0.02306 | -0.219166 | -0.173361 | -0.176035 | -0.218807 | 2.966527 | -0.151033 | -0.174733 | -0.160541 | -0.229381 | -0.150181 | -0.552310 | -0.428909 | -0.214563 | -0.348573 |
### Slice out WoW Columns
qoq_youtube = df_sample_scaled[["Q1_YOUTUBE_VIEWS_GROWTH", "Q2_YOUTUBE_VIEWS_GROWTH", "Q3_YOUTUBE_VIEWS_GROWTH",
"Q4_YOUTUBE_VIEWS_GROWTH"]]
from sklearn.cluster import KMeans
from sklearn.metrics import silhouette_samples, silhouette_score
import time
n_clusters = [3,4,5,6]
for i in n_clusters:
start = time.time()
clusterer = KMeans(n_clusters = i, random_state = 10)
cluster_labels = clusterer.fit_predict(qoq_youtube)
silhouette_avg = silhouette_score(qoq_youtube, cluster_labels)
end = time.time()
timetaken = end - start
print("For n_clusters =", i, "The average silhouette score is:", silhouette_avg)
print("This iteration took", timetaken)
sample_silhouette_values = silhouette_samples(qoq_youtube, cluster_labels)
For n_clusters = 3 The average silhouette score is: 0.9945894587732068 This iteration took 21.140565156936646 For n_clusters = 4 The average silhouette score is: 0.9927833907607675 This iteration took 21.17417597770691 For n_clusters = 5 The average silhouette score is: 0.9816392760220527 This iteration took 21.210541009902954 For n_clusters = 6 The average silhouette score is: 0.9821774995554735 This iteration took 21.623109102249146
### First, determine EPS range
from sklearn.neighbors import NearestNeighbors
from matplotlib import pyplot as plt
neighbors = NearestNeighbors(n_neighbors=8)
neighbors_fit = neighbors.fit(qoq_youtube)
distances, indices = neighbors_fit.kneighbors(qoq_youtube)
distances = np.sort(distances, axis=0)
distances = distances[:,1]
plt.axis([0, 51000, 0, 0.02])
plt.plot(distances)
[<matplotlib.lines.Line2D at 0x7f915830a8b0>]
### Determine Optimum EPS
from sklearn.cluster import DBSCAN
eps_range = [0.001, 0.002, 0.003, 0.004, 0.005]
for i in eps_range:
start = time.time()
print("eps value is" + str(i))
db = DBSCAN(eps = i, min_samples=8).fit(qoq_youtube)
core_samples_mask = np.zeros_like(db.labels_, dtype=bool)
core_samples_mask[db.core_sample_indices_] = True
labels = db.labels_
silhouette_avg = silhouette_score(qoq_youtube, labels)
print(set(labels))
silhouette_avg = silhouette_score(qoq_youtube, labels)
end = time.time()
timetaken = end - start
print("For eps value ="+ str(i), labels, "the average silhouette score is:", silhouette_avg)
print("This iteration took", timetaken, "seconds")
eps value is0.001
{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, -1}
For eps value =0.001 [ 0 0 0 ... 0 0 -1] the average silhouette score is: 0.7571481334695498
This iteration took 68.994784116745 seconds
eps value is0.002
{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, -1}
For eps value =0.002 [ 0 0 0 ... 0 0 -1] the average silhouette score is: 0.7402907798941708
This iteration took 70.48721098899841 seconds
eps value is0.003
{0, 1, 2, 3, 4, 5, 6, -1}
For eps value =0.003 [ 0 0 0 ... 0 0 -1] the average silhouette score is: 0.7841014590627013
This iteration took 71.33101677894592 seconds
eps value is0.004
{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, -1}
For eps value =0.004 [ 0 0 0 ... 0 0 -1] the average silhouette score is: 0.7649543460662273
This iteration took 72.07980418205261 seconds
eps value is0.005
{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, -1}
For eps value =0.005 [ 0 0 0 ... 0 0 -1] the average silhouette score is: 0.7708989318835603
This iteration took 72.89665389060974 seconds
min_samples = [7,8,9,10,11,12,13]
for i in min_samples:
start = time.time()
db = DBSCAN(eps = 0.003, min_samples=i).fit(qoq_youtube)
core_samples_mask = np.zeros_like(db.labels_, dtype=bool)
core_samples_mask[db.core_sample_indices_] = True
labels = db.labels_
silhouette_avg = silhouette_score(qoq_youtube, labels)
end = time.time()
timetaken = end - start
print("For min_sample value =" +str(i), "clusters produced ="+ str(len(set(labels))))
print("This iteration took", timetaken, "seconds")
For min_sample value =7 clusters produced =10 This iteration took 50.234596967697144 seconds For min_sample value =8 clusters produced =8 This iteration took 50.025941133499146 seconds For min_sample value =9 clusters produced =9 This iteration took 50.171427965164185 seconds For min_sample value =10 clusters produced =7 This iteration took 50.31635308265686 seconds For min_sample value =11 clusters produced =6 This iteration took 50.90813708305359 seconds For min_sample value =12 clusters produced =6 This iteration took 49.9834508895874 seconds For min_sample value =13 clusters produced =5 This iteration took 50.46366095542908 seconds
clustering = DBSCAN(eps=0.003, min_samples=12).fit(qoq_youtube)
components = clustering.components_
labels =clustering.labels_
core_sample_indices = clustering.core_sample_indices_
qoq_youtube.insert(0, 'cluster',clustering.labels_)
### count values within clusters
qoq_youtube.cluster.value_counts()
0 43532 -1 5262 1 39 3 17 4 12 2 12 Name: cluster, dtype: int64
Over 43k songs in cluster 0. Those songs show 0 growth or low growth. Remove an recluster the rest of the songs and evaluate result.
### slice out the data we want
df_no_zero_youtube = qoq_youtube.query('cluster == -1' or 'cluster == 1' or 'cluster == 2' or 'cluster == 3' or 'cluster == 4')
### drop cluster column
df_no_zero_youtube = df_no_zero_youtube.drop(['cluster'], axis = 1)
### Determine optimum Epsilon
from sklearn.neighbors import NearestNeighbors
from matplotlib import pyplot as plt
neighbors = NearestNeighbors(n_neighbors=8)
neighbors_fit = neighbors.fit(df_no_zero_youtube)
distances, indices = neighbors_fit.kneighbors(df_no_zero_youtube)
distances = np.sort(distances, axis=0)
distances = distances[:,1]
plt.axis([0, 5300, 0, 1])
plt.plot(distances)
[<matplotlib.lines.Line2D at 0x7f8a980ce5e0>]
n_clusters = [3,4,5,6]
for i in n_clusters:
clusterer = KMeans(n_clusters = i, random_state = 10)
cluster_labels = clusterer.fit_predict(df_no_zero_youtube)
silhouette_avg = silhouette_score(df_no_zero_youtube, cluster_labels)
print("For n_clusters =", i, "The average silhouette score is:", silhouette_avg)
sample_silhouette_values = silhouette_samples(df_no_zero_youtube, cluster_labels)
For n_clusters = 3 The average silhouette score is: 0.9379727354949758 For n_clusters = 4 The average silhouette score is: 0.9408528351853975 For n_clusters = 5 The average silhouette score is: 0.8476584343370819 For n_clusters = 6 The average silhouette score is: 0.8542504814108389
eps_range = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7]
for i in eps_range:
start = time.time()
print("eps value is" + str(i))
db = DBSCAN(eps = i, min_samples=8).fit(df_no_zero_youtube)
core_samples_mask = np.zeros_like(db.labels_, dtype=bool)
core_samples_mask[db.core_sample_indices_] = True
labels = db.labels_
silhouette_avg = silhouette_score(df_no_zero_youtube, labels)
print(set(labels))
silhouette_avg = silhouette_score(df_no_zero_youtube, labels)
end = time.time()
timetaken = start - end
print("For eps value ="+ str(i), labels, "the average silhouette score is:", silhouette_avg)
print("This iteration took", timetaken)
eps value is0.1
{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, -1}
For eps value =0.1 [0 0 0 ... 0 0 0] the average silhouette score is: 0.04638665279312412
This iteration took -0.6213250160217285
eps value is0.2
{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, -1}
For eps value =0.2 [0 0 0 ... 0 0 0] the average silhouette score is: 0.2870292358000253
This iteration took -0.6575460433959961
eps value is0.3
{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, -1}
For eps value =0.3 [0 0 0 ... 0 0 0] the average silhouette score is: 0.34195394981649324
This iteration took -0.6816840171813965
eps value is0.4
{0, 1, 2, 3, 4, 5, 6, 7, -1}
For eps value =0.4 [0 0 0 ... 0 0 0] the average silhouette score is: 0.5240871644895779
This iteration took -0.7124831676483154
eps value is0.5
{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, -1}
For eps value =0.5 [0 0 0 ... 0 0 0] the average silhouette score is: 0.468714986437441
This iteration took -0.7362239360809326
eps value is0.6
{0, 1, 2, 3, 4, -1}
For eps value =0.6 [0 0 0 ... 0 0 0] the average silhouette score is: 0.5605654989465374
This iteration took -0.7342960834503174
eps value is0.7
{0, 1, 2, 3, 4, -1}
For eps value =0.7 [0 0 0 ... 0 0 0] the average silhouette score is: 0.576257889484914
This iteration took -0.7478110790252686
min_samples = [7,8,9,10,11,12,13, 14, 15]
for i in min_samples:
db = DBSCAN(eps = 0.5, min_samples=i).fit(df_no_zero_youtube)
core_samples_mask = np.zeros_like(db.labels_, dtype=bool)
core_samples_mask[db.core_sample_indices_] = True
labels = db.labels_
silhouette_avg = silhouette_score(df_no_zero_youtube, labels)
print("For min_sample value =" +str(i), "clusters produced ="+ str(len(set(labels))))
For min_sample value =7 clusters produced =10 For min_sample value =8 clusters produced =11 For min_sample value =9 clusters produced =8 For min_sample value =10 clusters produced =8 For min_sample value =11 clusters produced =9 For min_sample value =12 clusters produced =7 For min_sample value =13 clusters produced =5 For min_sample value =14 clusters produced =5 For min_sample value =15 clusters produced =4
clustering = DBSCAN(eps=0.6, min_samples=15).fit(df_no_zero_youtube)
components = clustering.components_
labels =clustering.labels_
core_sample_indices = clustering.core_sample_indices_
df_no_zero_youtube.insert(0, 'cluster',clustering.labels_)
### count values within clusters
df_no_zero_youtube.cluster.value_counts()
0 4615 -1 567 1 41 3 21 2 18 Name: cluster, dtype: int64
clusters = df_no_zero_youtube \
.groupby('cluster') \
.agg('mean')
import matplotlib.pyplot as plt
from matplotlib import colors
def background_gradient(s, m, M, cmap='PuBu', low=0, high=0):
rng = M - m
norm = colors.Normalize(m - (rng * low),
M + (rng * high))
normed = norm(s.values)
c = [colors.rgb2hex(x) for x in plt.cm.get_cmap(cmap)(normed)]
return ['background-color: %s' % color for color in c]
clusters.style.apply(background_gradient,
cmap='Wistia',
m=clusters.min().min(),
M=clusters.max().max())
| Q1_YOUTUBE_VIEWS_GROWTH | Q2_YOUTUBE_VIEWS_GROWTH | Q3_YOUTUBE_VIEWS_GROWTH | Q4_YOUTUBE_VIEWS_GROWTH | |
|---|---|---|---|---|
| cluster | ||||
| -1 | 3.325468 | 0.167801 | 0.452928 | 1.564610 |
| 0 | 0.216701 | 0.080405 | 0.053391 | 0.058367 |
| 1 | -0.021774 | 6.295263 | 0.146793 | 0.111615 |
| 2 | 0.287102 | 0.127791 | -2.960023 | -0.034340 |
| 3 | 0.482192 | 0.102507 | 0.136515 | -4.207431 |
import plotly.express as px
fig = px.scatter_3d(df_no_zero_youtube, x="Q1_YOUTUBE_VIEWS_GROWTH", y="Q2_YOUTUBE_VIEWS_GROWTH", z= 'Q3_YOUTUBE_VIEWS_GROWTH',
color='cluster')
fig.show()
fig.update_layout(margin=dict(l=0, r=0, b=0, t=0))
### Investigate cluster -1
df_negative_1 = df_no_zero_youtube.query('cluster == -1')
list_negative_1 = df_negative_1.index.tolist()
negative_1 = df.query("TRACK_NAME in @list_negative_1")
negative_1
| CM_TRACK | TRACK_NAME | CM_ALBUM | ALBUM_NAME | RELEASE_DATE | ARTIST_NAME | ARTIST_COUNTRY_CODE2 | COUNTRY_NAME | GENRE_ID | ARTIST_GENRE | DUPE | Q1_YOUTUBE_VIEWS_GROWTH | Q1_YOUTUBE_LIKES_GROWTH | Q1_SPOTIFY_PLAYS_GROWTH | Q1_SPOTIFY_POPULARITY_GROWTH | Q1_TIKTOK_POSTS_GROWTH | Q1_AIRPLAY_STREAMS_GROWTH | Q2_YOUTUBE_VIEWS_GROWTH | Q2_YOUTUBE_LIKES_GROWTH | Q2_SPOTIFY_PLAYS_GROWTH | Q2_SPOTIFY_POPULARITY_GROWTH | Q2_TIKTOK_POSTS_GROWTH | Q2_AIRPLAY_STREAMS_GROWTH | Q3_YOUTUBE_VIEWS_GROWTH | Q3_YOUTUBE_LIKES_GROWTH | Q3_SPOTIFY_PLAYS_GROWTH | Q3_SPOTIFY_POPULARITY_GROWTH | Q3_TIKTOK_POSTS_GROWTH | Q3_AIRPLAY_STREAMS_GROWTH | Q4_YOUTUBE_VIEWS_GROWTH | Q4_YOUTUBE_LIKES_GROWTH | Q4_SPOTIFY_PLAYS_GROWTH | Q4_SPOTIFY_POPULARITY_GROWTH | Q4_TIKTOK_POSTS_GROWTH | Q4_AIRPLAY_STREAMS_GROWTH | GENRE | M1_YOUTUBE_VIEWS_GROWTH | M2_YOUTUBE_VIEWS_GROWTH | M3_YOUTUBE_VIEWS_GROWTH | M4_YOUTUBE_VIEWS_GROWTH | M5_YOUTUBE_VIEWS_GROWTH | M6_YOUTUBE_VIEWS_GROWTH | M7_YOUTUBE_VIEWS_GROWTH | M8_YOUTUBE_VIEWS_GROWTH | M9_YOUTUBE_VIEWS_GROWTH | M10_YOUTUBE_VIEWS_GROWTH | M11_YOUTUBE_VIEWS_GROWTH | M12_YOUTUBE_VIEWS_GROWTH | M1_YOUTUBE_LIKES_GROWTH | M2_YOUTUBE_LIKES_GROWTH | M3_YOUTUBE_LIKES_GROWTH | M4_YOUTUBE_LIKES_GROWTH | M5_YOUTUBE_LIKES_GROWTH | M6_YOUTUBE_LIKES_GROWTH | M7_YOUTUBE_LIKES_GROWTH | M8_YOUTUBE_LIKES_GROWTH | M9_YOUTUBE_LIKES_GROWTH | M10_YOUTUBE_LIKES_GROWTH | M11_YOUTUBE_LIKES_GROWTH | M12_YOUTUBE_LIKES_GROWTH | M1_SPOTIFY_PLAYS_GROWTH | M2_SPOTIFY_PLAYS_GROWTH | M3_SPOTIFY_PLAYS_GROWTH | M4_SPOTIFY_PLAYS_GROWTH | M5_SPOTIFY_PLAYS_GROWTH | M6_SPOTIFY_PLAYS_GROWTH | M7_SPOTIFY_PLAYS_GROWTH | M8_SPOTIFY_PLAYS_GROWTH | M9_SPOTIFY_PLAYS_GROWTH | M10_SPOTIFY_PLAYS_GROWTH | M11_SPOTIFY_PLAYS_GROWTH | M12_SPOTIFY_PLAYS_GROWTH | M1_SPOTIFY_POPULARITY_GROWTH | M2_SPOTIFY_POPULARITY_GROWTH | M3_SPOTIFY_POPULARITY_GROWTH | M4_SPOTIFY_POPULARITY_GROWTH | M5_SPOTIFY_POPULARITY_GROWTH | M6_SPOTIFY_POPULARITY_GROWTH | M7_SPOTIFY_POPULARITY_GROWTH | M8_SPOTIFY_POPULARITY_GROWTH | M9_SPOTIFY_POPULARITY_GROWTH | M10_SPOTIFY_POPULARITY_GROWTH | M11_SPOTIFY_POPULARITY_GROWTH | M12_SPOTIFY_POPULARITY_GROWTH | M1_TIKTOK_POSTS_GROWTH | M2_TIKTOK_POSTS_GROWTH | M3_TIKTOK_POSTS_GROWTH | M4_TIKTOK_POSTS_GROWTH | M5_TIKTOK_POSTS_GROWTH | M6_TIKTOK_POSTS_GROWTH | M7_TIKTOK_POSTS_GROWTH | M8_TIKTOK_POSTS_GROWTH | M9_TIKTOK_POSTS_GROWTH | M10_TIKTOK_POSTS_GROWTH | M11_TIKTOK_POSTS_GROWTH | M12_TIKTOK_POSTS_GROWTH | M1_AIRPLAY_STREAMS_GROWTH | M2_AIRPLAY_STREAMS_GROWTH | M3_AIRPLAY_STREAMS_GROWTH | M4_AIRPLAY_STREAMS_GROWTH | M5_AIRPLAY_STREAMS_GROWTH | M6_AIRPLAY_STREAMS_GROWTH | M7_AIRPLAY_STREAMS_GROWTH | M8_AIRPLAY_STREAMS_GROWTH | M9_AIRPLAY_STREAMS_GROWTH | M10_AIRPLAY_STREAMS_GROWTH | M11_AIRPLAY_STREAMS_GROWTH | M12_AIRPLAY_STREAMS_GROWTH | WK1_YT_VIEWS_GROWTH | WK2_YT_VIEWS_GROWTH | WK3_YT_VIEWS_GROWTH | WK4_YT_VIEWS_GROWTH | WK5_YT_VIEWS_GROWTH | WK6_YT_VIEWS_GROWTH | WK7_YT_VIEWS_GROWTH | WK8_YT_VIEWS_GROWTH | WK9_YT_VIEWS_GROWTH | WK10_YT_VIEWS_GROWTH | WK11_YT_VIEWS_GROWTH | WK12_YT_VIEWS_GROWTH | WK13_YT_VIEWS_GROWTH | WK14_YT_VIEWS_GROWTH | WK15_YT_VIEWS_GROWTH | WK1_SPOTIFY_PLAYS_GROWTH | WK2_SPOTIFY_PLAYS_GROWTH | WK3_SPOTIFY_PLAYS_GROWTH | WK4_SPOTIFY_PLAYS_GROWTH | WK5_SPOTIFY_PLAYS_GROWTH | WK6_SPOTIFY_PLAYS_GROWTH | WK7_SPOTIFY_PLAYS_GROWTH | WK8_SPOTIFY_PLAYS_GROWTH | WK9_SPOTIFY_PLAYS_GROWTH | WK10_SPOTIFY_PLAYS_GROWTH | WK11_SPOTIFY_PLAYS_GROWTH | WK12_SPOTIFY_PLAYS_GROWTH | WK13_SPOTIFY_PLAYS_GROWTH | WK14_SPOTIFY_PLAYS_GROWTH | WK15_SPOTIFY_PLAYS_GROWTH | WK1_TIKTOK_POSTS_GROWTH | WK2_TIKTOK_POSTS_GROWTH | WK3_TIKTOK_POSTS_GROWTH | WK4_TIKTOK_POSTS_GROWTH | WK5_TIKTOK_POSTS_GROWTH | WK6_TIKTOK_POSTS_GROWTH | WK7_TIKTOK_POSTS_GROWTH | WK8_TIKTOK_POSTS_GROWTH | WK9_TIKTOK_POSTS_GROWTH | WK10_TIKTOK_POSTS_GROWTH | WK11_TIKTOK_POSTS_GROWTH | WK12_TIKTOK_POSTS_GROWTH | WK13_TIKTOK_POSTS_GROWTH | WK14_TIKTOK_POSTS_GROWTH | WK15_TIKTOK_POSTS_GROWTH | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 52 | 67519811 | Lullaby | 20930561 | Lovesick | 2022-04-29 | Jay Isaiah | CA | Canada | 462882.0 | Pop | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | Dance | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 9924.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 111 | 19087846 | Addicted | 2460010 | Addicted | 2018-04-18 | VanJess | US | United States | 462889.0 | R&B/Soul | 1 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 17.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -13.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 10.0 | 0.0 | R&B/Soul | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 14.0 | 3.0 | 0.0 | 0.0 | 11.0 | 0.0 | 10.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -19.0 | 0.0 | -256.0 | 0.0 | -24.0 | 0.0 | -55.0 |
| 305 | 13381429 | Hey Now | 6310404 | MAN WITH A "BEST" MISSION (Deluxe Edition) | 2020-07-15 | MAN WITH A MISSION | JP | Japan | 462924.0 | J-Pop | 1 | 3212839.0 | 380.0 | 0.0 | 23.0 | 0.0 | 4.0 | 163390.0 | 620.0 | 0.0 | 4.0 | 0.0 | 1.0 | 155665.0 | 709.0 | 0.0 | -17.0 | 0.0 | 2.0 | 163889.0 | 567.0 | 0.0 | 3.0 | 0.0 | 2.0 | J-Pop | 0.0 | 42325.0 | 52655.0 | 52105.0 | 54874.0 | 56411.0 | 56727.0 | 44611.0 | 54327.0 | 58400.0 | 56525.0 | 48964.0 | 0.0 | 122.0 | 160.0 | 180.0 | 223.0 | 217.0 | 237.0 | 230.0 | 242.0 | 224.0 | 209.0 | 134.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 10.0 | 2.0 | 2.0 | 0.0 | 19.0 | 0.0 | 14.0 | 0.0 | 0.0 | 16.0 | 9.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 3.0 | 1.0 | 0.0 | 1.0 | 0.0 | 1.0 | 1.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | -309670367.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1485514.0 | 0.0 | 0.0 | 1766148.0 | 0.0 | -81464503.0 | 2887717.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 500 | 12265525 | Selfie | 3074223 | Selfie | 2015-07-06 | Vald | FR | France | 462883.0 | Hip-Hop/Rap | 1 | 3430.0 | 10.0 | 0.0 | 4.0 | 0.0 | 0.0 | 11615182.0 | 69715.0 | 0.0 | 48.0 | 0.0 | 0.0 | 51574.0 | 416.0 | 0.0 | -51.0 | 0.0 | 0.0 | -11666181.0 | -70127.0 | 0.0 | 51.0 | 0.0 | 0.0 | Hip-Hop/Rap | 0.0 | 28944.0 | 0.0 | 11569596.0 | 0.0 | 11612730.0 | 16110.0 | 19008.0 | 16456.0 | 17967.0 | 19495.0 | 0.0 | 0.0 | 211.0 | 0.0 | 69322.0 | 0.0 | 69725.0 | 118.0 | 136.0 | 162.0 | 120.0 | 168.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 48.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 51.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 240293.0 | 11124691.0 | 0.0 | 0.0 | 0.0 | 0.0 | 317784.0 | -20921733.0 | 0.0 | 0.0 | 11539083.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 509 | 21815691 | Starlight | 3365695 | Starlight | 2018-10-19 | BABYMETAL | JP | Japan | 462884.0 | Rock | 1 | 5179619.0 | 3264.0 | 0.0 | 22.0 | 47.0 | 4.0 | 156612.0 | 2625.0 | 0.0 | 24.0 | 20.0 | 0.0 | 153045.0 | 2502.0 | 0.0 | -36.0 | -62.0 | 5.0 | 129372.0 | 2046.0 | 0.0 | 16.0 | 73.0 | 4.0 | Hard Rock | 0.0 | 70830.0 | 75610.0 | 56308.0 | 56591.0 | 43713.0 | 51029.0 | 54787.0 | 47229.0 | 46026.0 | 42660.0 | 40686.0 | 0.0 | 1258.0 | 1409.0 | 909.0 | 978.0 | 738.0 | 901.0 | 868.0 | 733.0 | 751.0 | 654.0 | 641.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 9.0 | 0.0 | 32.0 | 0.0 | 0.0 | 0.0 | 10.0 | 17.0 | 0.0 | 0.0 | 0.0 | 0.0 | 47.0 | 12.0 | 6.0 | 2.0 | 0.0 | 6.0 | 0.0 | 1.0 | 6.0 | 66.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | 2.0 | 1.0 | 0.0 | 3.0 | 0.0 | 0.0 | -308425708.0 | 0.0 | -46136631.0 | -5781012.0 | 0.0 | -349708.0 | 0.0 | 0.0 | 1333673.0 | 0.0 | -4050805.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -18748.0 | 0.0 | 0.0 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 101731 | 36087839 | Cringe | 8353312 | Cringe / You're the Boss | 2021-04-30 | Sophiegrophy | AU | Australia | 462883.0 | Hip-Hop/Rap | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 18181.0 | -7.0 | 0.0 | 0.0 | 0.0 | 0.0 | 12058.0 | -1.0 | 1.0 | 0.0 | Electronic | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 9413.0 | 6944.0 | 5799.0 | 5438.0 | 3823.0 | 4538.0 | 3697.0 | 0.0 | 0.0 | 0.0 | 0.0 | 34.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 101993 | 14488464 | Intoxicated - Radio Edit | 3100017 | House Every Weekend, Vol. 2 | 2016-03-11 | Good Times Ahead | US | United States | 462887.0 | Electronic | 1 | 164890036.0 | 886774.0 | 0.0 | 16.0 | 0.0 | 1966.0 | -164549695.0 | -895961.0 | 0.0 | 1.0 | 0.0 | 1475.0 | -320677.0 | -3967.0 | 9021688.0 | -2.0 | 0.0 | 1548.0 | 171312941.0 | 955695.0 | 7668998.0 | 2.0 | 0.0 | 1375.0 | Electronic | 0.0 | 935575.0 | 1015869.0 | 1045060.0 | 752381.0 | 0.0 | 167600702.0 | 664096.0 | 0.0 | 169914064.0 | 666934.0 | 731943.0 | 0.0 | 6699.0 | 8561.0 | 7011.0 | 5700.0 | 0.0 | 918933.0 | 5116.0 | 0.0 | 939578.0 | 7623.0 | 8494.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3350202.0 | 3223171.0 | 3040072.0 | 2758445.0 | 2750294.0 | 2595633.0 | 2323071.0 | 0.0 | 0.0 | 10.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 58.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 621.0 | 672.0 | 711.0 | 377.0 | 387.0 | 495.0 | 514.0 | 539.0 | 433.0 | 436.0 | 506.0 | 0.0 | 0.0 | 147613139.0 | 161835676.0 | 0.0 | 158263776.0 | 0.0 | 0.0 | 0.0 | 0.0 | 123682267.0 | 65697172.0 | 0.0 | 0.0 | 161511553.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 102072 | 12315279 | Pose ton Gun | 1798878 | Pose Ton Gun | 1999-09-13 | SuprĂȘme NTM | FR | France | 462883.0 | Hip-Hop/Rap | 1 | 20612933.0 | 67823.0 | 0.0 | 31.0 | 23.0 | 5.0 | 624635.0 | 3426.0 | 0.0 | 0.0 | 19.0 | 9.0 | 575967.0 | 3376.0 | 0.0 | -22.0 | 0.0 | 3.0 | -19606269.0 | -68130.0 | 0.0 | 2.0 | 0.0 | 7.0 | Hip-Hop/Rap | 0.0 | 214443.0 | 214299.0 | 225924.0 | 223350.0 | 175361.0 | 176710.0 | 212980.0 | 186277.0 | 185571.0 | 171696.0 | 0.0 | 0.0 | 1173.0 | 1227.0 | 1192.0 | 1242.0 | 992.0 | 1002.0 | 1384.0 | 990.0 | 974.0 | 1204.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 115179.0 | 0.0 | 4.0 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 6.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 11.0 | 4.0 | 11.0 | 4.0 | 4.0 | 10.0 | 0.0 | 0.0 | 2.0 | 22.0 | 0.0 | 4.0 | 1.0 | 2.0 | 5.0 | 2.0 | 0.0 | 1.0 | 2.0 | 2.0 | 4.0 | 1.0 | -674927955.0 | -124377253.0 | -531138.0 | 17032541.0 | 17441068.0 | 0.0 | 0.0 | 16608033.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -257.0 | 0.0 | 0.0 | 0.0 | 0.0 | 194.0 | 0.0 |
| 102128 | 59708880 | All Night | 11884894 | HEY WHAT | 2021-09-10 | Low | US | United States | 462888.0 | Alternative | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 275325.0 | 0.0 | 0.0 | 39.0 | Alternative | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 101052.0 | 55464.0 | 118809.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 22.0 | 5.0 | 12.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 102389 | 13469059 | Lullaby | 12138962 | Mountains - Massive Rock Hits | 2021-07-02 | Nickelback | CA | Canada | 462882.0 | Pop | 1 | 116202530.0 | 8699.0 | 0.0 | 34.0 | 0.0 | 0.0 | 1373131.0 | 7558.0 | 0.0 | -1.0 | 0.0 | 0.0 | 1173909.0 | 7138.0 | 0.0 | -35.0 | 0.0 | 0.0 | 1077496.0 | 6812.0 | 0.0 | 1.0 | 0.0 | 0.0 | Metal | 0.0 | 512034.0 | 574319.0 | 527586.0 | 483271.0 | 362274.0 | 340953.0 | 445594.0 | 387362.0 | 420203.0 | 334885.0 | 322408.0 | 0.0 | 2718.0 | 3095.0 | 2895.0 | 2617.0 | 2046.0 | 2007.0 | 2706.0 | 2425.0 | 2695.0 | 2014.0 | 2103.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 97897749.0 | 0.0 | 0.0 | 0.0 | 88628371.0 | 0.0 | 0.0 | 0.0 | 0.0 | 109205678.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
957 rows Ă 153 columns
negative_1.ARTIST_GENRE.value_counts()
Pop 138
Rock 111
Hip-Hop/Rap 93
Latin 91
R&B/Soul 51
...
Opera 1
Arabic 1
Dancehall 1
Reggaeton 1
Others 1
Name: ARTIST_GENRE, Length: 61, dtype: int64
df_youtube_cn1 = negative_1.COUNTRY_NAME.value_counts()
df_youtube_cn1 = pd.DataFrame(data=df_youtube_cn1)
df_youtube_cn1.columns = ['count']
df_youtube_cn1.plot.bar()
<AxesSubplot:>
df_youtube_cn1_genre = negative_1.ARTIST_GENRE.value_counts()
df_youtube_cn1_genre = pd.DataFrame(data=df_youtube_cn1_genre)
df_youtube_cn1_genre.columns = ['count']
df_youtube_cn1_genre.plot.bar()
<AxesSubplot:>
### Investigate cluster 0
df_zero = df_no_zero_youtube.query('cluster == 0')
list_two = df_zero.index.tolist()
zero = df.query("TRACK_NAME in @list_two")
zero
| CM_TRACK | TRACK_NAME | CM_ALBUM | ALBUM_NAME | RELEASE_DATE | ARTIST_NAME | ARTIST_COUNTRY_CODE2 | COUNTRY_NAME | GENRE_ID | ARTIST_GENRE | DUPE | Q1_YOUTUBE_VIEWS_GROWTH | Q1_YOUTUBE_LIKES_GROWTH | Q1_SPOTIFY_PLAYS_GROWTH | Q1_SPOTIFY_POPULARITY_GROWTH | Q1_TIKTOK_POSTS_GROWTH | Q1_AIRPLAY_STREAMS_GROWTH | Q2_YOUTUBE_VIEWS_GROWTH | Q2_YOUTUBE_LIKES_GROWTH | Q2_SPOTIFY_PLAYS_GROWTH | Q2_SPOTIFY_POPULARITY_GROWTH | Q2_TIKTOK_POSTS_GROWTH | Q2_AIRPLAY_STREAMS_GROWTH | Q3_YOUTUBE_VIEWS_GROWTH | Q3_YOUTUBE_LIKES_GROWTH | Q3_SPOTIFY_PLAYS_GROWTH | Q3_SPOTIFY_POPULARITY_GROWTH | Q3_TIKTOK_POSTS_GROWTH | Q3_AIRPLAY_STREAMS_GROWTH | Q4_YOUTUBE_VIEWS_GROWTH | Q4_YOUTUBE_LIKES_GROWTH | Q4_SPOTIFY_PLAYS_GROWTH | Q4_SPOTIFY_POPULARITY_GROWTH | Q4_TIKTOK_POSTS_GROWTH | Q4_AIRPLAY_STREAMS_GROWTH | GENRE | M1_YOUTUBE_VIEWS_GROWTH | M2_YOUTUBE_VIEWS_GROWTH | M3_YOUTUBE_VIEWS_GROWTH | M4_YOUTUBE_VIEWS_GROWTH | M5_YOUTUBE_VIEWS_GROWTH | M6_YOUTUBE_VIEWS_GROWTH | M7_YOUTUBE_VIEWS_GROWTH | M8_YOUTUBE_VIEWS_GROWTH | M9_YOUTUBE_VIEWS_GROWTH | M10_YOUTUBE_VIEWS_GROWTH | M11_YOUTUBE_VIEWS_GROWTH | M12_YOUTUBE_VIEWS_GROWTH | M1_YOUTUBE_LIKES_GROWTH | M2_YOUTUBE_LIKES_GROWTH | M3_YOUTUBE_LIKES_GROWTH | M4_YOUTUBE_LIKES_GROWTH | M5_YOUTUBE_LIKES_GROWTH | M6_YOUTUBE_LIKES_GROWTH | M7_YOUTUBE_LIKES_GROWTH | M8_YOUTUBE_LIKES_GROWTH | M9_YOUTUBE_LIKES_GROWTH | M10_YOUTUBE_LIKES_GROWTH | M11_YOUTUBE_LIKES_GROWTH | M12_YOUTUBE_LIKES_GROWTH | M1_SPOTIFY_PLAYS_GROWTH | M2_SPOTIFY_PLAYS_GROWTH | M3_SPOTIFY_PLAYS_GROWTH | M4_SPOTIFY_PLAYS_GROWTH | M5_SPOTIFY_PLAYS_GROWTH | M6_SPOTIFY_PLAYS_GROWTH | M7_SPOTIFY_PLAYS_GROWTH | M8_SPOTIFY_PLAYS_GROWTH | M9_SPOTIFY_PLAYS_GROWTH | M10_SPOTIFY_PLAYS_GROWTH | M11_SPOTIFY_PLAYS_GROWTH | M12_SPOTIFY_PLAYS_GROWTH | M1_SPOTIFY_POPULARITY_GROWTH | M2_SPOTIFY_POPULARITY_GROWTH | M3_SPOTIFY_POPULARITY_GROWTH | M4_SPOTIFY_POPULARITY_GROWTH | M5_SPOTIFY_POPULARITY_GROWTH | M6_SPOTIFY_POPULARITY_GROWTH | M7_SPOTIFY_POPULARITY_GROWTH | M8_SPOTIFY_POPULARITY_GROWTH | M9_SPOTIFY_POPULARITY_GROWTH | M10_SPOTIFY_POPULARITY_GROWTH | M11_SPOTIFY_POPULARITY_GROWTH | M12_SPOTIFY_POPULARITY_GROWTH | M1_TIKTOK_POSTS_GROWTH | M2_TIKTOK_POSTS_GROWTH | M3_TIKTOK_POSTS_GROWTH | M4_TIKTOK_POSTS_GROWTH | M5_TIKTOK_POSTS_GROWTH | M6_TIKTOK_POSTS_GROWTH | M7_TIKTOK_POSTS_GROWTH | M8_TIKTOK_POSTS_GROWTH | M9_TIKTOK_POSTS_GROWTH | M10_TIKTOK_POSTS_GROWTH | M11_TIKTOK_POSTS_GROWTH | M12_TIKTOK_POSTS_GROWTH | M1_AIRPLAY_STREAMS_GROWTH | M2_AIRPLAY_STREAMS_GROWTH | M3_AIRPLAY_STREAMS_GROWTH | M4_AIRPLAY_STREAMS_GROWTH | M5_AIRPLAY_STREAMS_GROWTH | M6_AIRPLAY_STREAMS_GROWTH | M7_AIRPLAY_STREAMS_GROWTH | M8_AIRPLAY_STREAMS_GROWTH | M9_AIRPLAY_STREAMS_GROWTH | M10_AIRPLAY_STREAMS_GROWTH | M11_AIRPLAY_STREAMS_GROWTH | M12_AIRPLAY_STREAMS_GROWTH | WK1_YT_VIEWS_GROWTH | WK2_YT_VIEWS_GROWTH | WK3_YT_VIEWS_GROWTH | WK4_YT_VIEWS_GROWTH | WK5_YT_VIEWS_GROWTH | WK6_YT_VIEWS_GROWTH | WK7_YT_VIEWS_GROWTH | WK8_YT_VIEWS_GROWTH | WK9_YT_VIEWS_GROWTH | WK10_YT_VIEWS_GROWTH | WK11_YT_VIEWS_GROWTH | WK12_YT_VIEWS_GROWTH | WK13_YT_VIEWS_GROWTH | WK14_YT_VIEWS_GROWTH | WK15_YT_VIEWS_GROWTH | WK1_SPOTIFY_PLAYS_GROWTH | WK2_SPOTIFY_PLAYS_GROWTH | WK3_SPOTIFY_PLAYS_GROWTH | WK4_SPOTIFY_PLAYS_GROWTH | WK5_SPOTIFY_PLAYS_GROWTH | WK6_SPOTIFY_PLAYS_GROWTH | WK7_SPOTIFY_PLAYS_GROWTH | WK8_SPOTIFY_PLAYS_GROWTH | WK9_SPOTIFY_PLAYS_GROWTH | WK10_SPOTIFY_PLAYS_GROWTH | WK11_SPOTIFY_PLAYS_GROWTH | WK12_SPOTIFY_PLAYS_GROWTH | WK13_SPOTIFY_PLAYS_GROWTH | WK14_SPOTIFY_PLAYS_GROWTH | WK15_SPOTIFY_PLAYS_GROWTH | WK1_TIKTOK_POSTS_GROWTH | WK2_TIKTOK_POSTS_GROWTH | WK3_TIKTOK_POSTS_GROWTH | WK4_TIKTOK_POSTS_GROWTH | WK5_TIKTOK_POSTS_GROWTH | WK6_TIKTOK_POSTS_GROWTH | WK7_TIKTOK_POSTS_GROWTH | WK8_TIKTOK_POSTS_GROWTH | WK9_TIKTOK_POSTS_GROWTH | WK10_TIKTOK_POSTS_GROWTH | WK11_TIKTOK_POSTS_GROWTH | WK12_TIKTOK_POSTS_GROWTH | WK13_TIKTOK_POSTS_GROWTH | WK14_TIKTOK_POSTS_GROWTH | WK15_TIKTOK_POSTS_GROWTH | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 5 | 15905276 | Everybody Knows | 801953 | Everybody Knows EP (International Version) | 2007-01-01 | Ryan Adams | US | United States | 462891.0 | Singer/Songwriter | 1 | 2398687.0 | 93.0 | 0.0 | 32.0 | 0.0 | 20.0 | 11925.0 | 63.0 | 0.0 | 0.0 | 0.0 | 11.0 | 10860.0 | 54.0 | 0.0 | -13.0 | 0.0 | 20.0 | 10756.0 | 62.0 | 0.0 | 2.0 | 0.0 | 23.0 | Alternative | 0.0 | 5786.0 | 5152.0 | 3484.0 | 4269.0 | 4172.0 | 3925.0 | 4275.0 | 2660.0 | 3453.0 | 3743.0 | 3560.0 | 0.0 | 40.0 | 45.0 | 19.0 | 22.0 | 22.0 | 24.0 | 17.0 | 13.0 | 20.0 | 20.0 | 22.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 14.0 | 0.0 | 13.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | 4.0 | 5.0 | 5.0 | 1.0 | 9.0 | 5.0 | 6.0 | 10.0 | 8.0 | 5.0 | 0.0 | 0.0 | -6208611.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1366261.0 | 0.0 | 0.0 | 2336211.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 27 | 15966354 | Flex | 147413 | Flex (feat. Tory Lanez & Fabolous) - Single | 2016-07-01 | Joe Budden | US | United States | 462883.0 | Hip-Hop/Rap | 1 | 1260510.0 | 88.0 | 0.0 | 2.0 | 0.0 | 0.0 | 7031.0 | 76.0 | 0.0 | -1.0 | 0.0 | 0.0 | 6931.0 | 75.0 | 0.0 | -3.0 | 0.0 | 0.0 | 5891.0 | 68.0 | 0.0 | 2.0 | 0.0 | 0.0 | Hip-Hop/Rap | 0.0 | 1848.0 | 2577.0 | 2534.0 | 2138.0 | 2359.0 | 2288.0 | 2168.0 | 2475.0 | 1527.0 | 2125.0 | 2239.0 | 0.0 | 38.0 | 25.0 | 23.0 | 27.0 | 26.0 | 22.0 | 25.0 | 28.0 | 21.0 | 22.0 | 25.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -9994086.0 | 0.0 | -35213594.0 | 0.0 | 0.0 | 0.0 | -7608523.0 | -5207633.0 | -5500156.0 | 949964.0 | -344181195.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 52 | 67519811 | Lullaby | 20930561 | Lovesick | 2022-04-29 | Jay Isaiah | CA | Canada | 462882.0 | Pop | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | Dance | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 9924.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 62 | 13123423 | Red | 204739 | Bloodworks | 2013-04-29 | Phoria | GB | United Kingdom | 462894.0 | New Age | 1 | 3244.0 | 437.0 | 0.0 | 37.0 | 0.0 | 2.0 | 51557.0 | -201.0 | 0.0 | -2.0 | 2.0 | 2.0 | 118495.0 | 1711.0 | 0.0 | -16.0 | 0.0 | 2.0 | -167598.0 | -1494.0 | 0.0 | -12.0 | 0.0 | 1.0 | Electronic | 0.0 | 0.0 | 0.0 | 37458.0 | 115480.0 | 0.0 | 106140.0 | 0.0 | 117265.0 | 0.0 | 37782.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1838.0 | 0.0 | 1636.0 | 0.0 | 1708.0 | 0.0 | 0.0 | 450.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 26261.0 | 0.0 | 0.0 | 17.0 | 0.0 | 30.0 | 0.0 | 0.0 | 0.0 | 18.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 | 1.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 113207.0 | -979203.0 | 0.0 | 0.0 | 0.0 | -73192747.0 | -129128.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -10.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1316.0 | -335.0 |
| 73 | 28604194 | Happy Days | 6940264 | Something to Say | 2020-10-30 | Cory Henry | US | United States | 462933.0 | Funk | 1 | 0.0 | 0.0 | 0.0 | 13.0 | 2.0 | 12.0 | 0.0 | 0.0 | 0.0 | -1.0 | 4.0 | 11.0 | 0.0 | 0.0 | 373025.0 | 0.0 | 5.0 | 6.0 | 0.0 | 0.0 | 415501.0 | 0.0 | 6.0 | 25.0 | Funk | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 96013.0 | 102781.0 | 130579.0 | 139665.0 | 161427.0 | 120146.0 | 133928.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 1.0 | 2.0 | 3.0 | 0.0 | 0.0 | 6.0 | 1.0 | 0.0 | 0.0 | 3.0 | 4.0 | 4.0 | 4.0 | 3.0 | 1.0 | 2.0 | 3.0 | 5.0 | 10.0 | 10.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | -515.0 | -855.0 | 0.0 |
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| 102483 | 15188851 | Que Me Vas a Dar | 6876025 | Parrandera, Rebelde y Atrevida (Deluxe) | 2011-05-03 | Jenni Rivera | US | United States | 462951.0 | Latin | 1 | 42702260.0 | 4368.0 | 0.0 | 13.0 | 568.0 | 7.0 | 573944.0 | 3551.0 | 0.0 | 0.0 | 239.0 | 8.0 | 469755.0 | 3225.0 | 0.0 | -2.0 | 604.0 | 11.0 | 453843.0 | 3086.0 | 0.0 | 3.0 | -1037.0 | 8.0 | Latin | 0.0 | 219455.0 | 222369.0 | 217752.0 | 188172.0 | 168020.0 | 174197.0 | 142153.0 | 153405.0 | 145325.0 | 125515.0 | 183003.0 | 0.0 | 1398.0 | 1403.0 | 1259.0 | 1132.0 | 1160.0 | 1083.0 | 1024.0 | 1118.0 | 1037.0 | 808.0 | 1241.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 820891.0 | 0.0 | 9.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 2.0 | 0.0 | 29.0 | 323.0 | 138.0 | 51.0 | 50.0 | 0.0 | 1466.0 | 105.0 | 232.0 | 172.0 | 0.0 | 0.0 | 1.0 | 3.0 | 3.0 | 3.0 | 2.0 | 3.0 | 5.0 | 3.0 | 2.0 | 5.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 18986634.0 | 41853721.0 | 36746157.0 | 0.0 | -48794961.0 | 0.0 | 0.0 | 0.0 | 42894393.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -13321.0 | 0.0 | 280.0 | 0.0 | -209.0 | 366.0 | 0.0 | 0.0 | 401.0 | 0.0 | 712.0 | 0.0 | 0.0 |
| 102490 | 13277835 | In equilibrio | 7478192 | Eternamente Ora | 2016-02-12 | Francesco Gabbani | IT | Italy | 462920.0 | Soft Rock | 1 | 1484012.0 | 128.0 | 0.0 | 26.0 | 0.0 | 0.0 | 17852.0 | 125.0 | 0.0 | -8.0 | 0.0 | 0.0 | 12826.0 | 71.0 | 0.0 | 0.0 | 0.0 | 0.0 | 16955.0 | 134.0 | 0.0 | -4.0 | 0.0 | 0.0 | Pop | 0.0 | 7148.0 | 7884.0 | 6633.0 | 6223.0 | 4996.0 | 3361.0 | 4394.0 | 5071.0 | 5031.0 | 6351.0 | 5573.0 | 0.0 | 40.0 | 58.0 | 46.0 | 42.0 | 37.0 | 18.0 | 24.0 | 29.0 | 32.0 | 49.0 | 53.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 10.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -229535.0 | 0.0 | 0.0 | 0.0 | -3587990.0 | -4416954.0 | 0.0 | 0.0 | 0.0 | -60567291.0 | -45723177.0 | -2374403.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 102512 | 31721983 | Underdog | 6898771 | Underdog | 2020-10-19 | Ummet Ozcan | NL | Netherlands | 462890.0 | House | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 21.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | Electronic | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 102517 | 35961220 | Lost In Love | 8347744 | Lost In Love | 2021-04-28 | Jany Green | US | United States | 462889.0 | R&B/Soul | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 107953.0 | -16.0 | -1.0 | 0.0 | 0.0 | 0.0 | 123607.0 | 0.0 | 2.0 | 0.0 | Pop | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 39139.0 | 25521.0 | 50125.0 | 32307.0 | 37074.0 | 44978.0 | 41555.0 | 0.0 | 0.0 | 0.0 | 0.0 | 46.0 | 0.0 | 0.0 | 0.0 | 7.0 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 102532 | 17882234 | There Are Many Ways To Say I Love You | 5721641 | Musique Love | 2020-02-21 | Sylvan Esso | US | United States | 462884.0 | Rock | 1 | 5704.0 | 0.0 | 0.0 | 43.0 | 0.0 | 1.0 | 192772.0 | 2458.0 | 0.0 | 1.0 | 0.0 | 0.0 | 2575.0 | 39.0 | 0.0 | -44.0 | 0.0 | 1.0 | -195347.0 | -2497.0 | 0.0 | 0.0 | 0.0 | 4.0 | Alternative | 0.0 | 1106.0 | 0.0 | 191049.0 | 0.0 | 192772.0 | 817.0 | 0.0 | 195347.0 | 0.0 | 196996.0 | 0.0 | 0.0 | 19.0 | 0.0 | 2433.0 | 0.0 | 2458.0 | 7.0 | 0.0 | 2497.0 | 0.0 | 2524.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | -11949793.0 | 0.0 | 0.0 | 0.0 | -146655176.0 | 0.0 | -158090438.0 | 0.0 | -52014.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
7205 rows Ă 153 columns
df_youtube_c0 = zero.COUNTRY_NAME.value_counts()
df_youtube_c0 = pd.DataFrame(data=df_youtube_c0)
df_youtube_c0.columns = ['count']
df_youtube_c0.plot.bar()
<AxesSubplot:>
/Users/angelikalin/opt/anaconda3/lib/python3.9/site-packages/IPython/core/pylabtools.py:151: UserWarning: Glyph 146 (\x92) missing from current font.
df_youtube_c0_genre = zero.ARTIST_GENRE.value_counts()
df_youtube_c0_genre = pd.DataFrame(data=df_youtube_c0_genre)
df_youtube_c0_genre.columns = ['count']
df_youtube_c0_genre.plot.bar()
<AxesSubplot:>
### Investigate cluster 1
df_one = df_no_zero_youtube.query('cluster == 1')
list_one = df_one.index.tolist()
one = df.query("TRACK_NAME in @list_one")
one
| CM_TRACK | TRACK_NAME | CM_ALBUM | ALBUM_NAME | RELEASE_DATE | ARTIST_NAME | ARTIST_COUNTRY_CODE2 | COUNTRY_NAME | GENRE_ID | ARTIST_GENRE | DUPE | Q1_YOUTUBE_VIEWS_GROWTH | Q1_YOUTUBE_LIKES_GROWTH | Q1_SPOTIFY_PLAYS_GROWTH | Q1_SPOTIFY_POPULARITY_GROWTH | Q1_TIKTOK_POSTS_GROWTH | Q1_AIRPLAY_STREAMS_GROWTH | Q2_YOUTUBE_VIEWS_GROWTH | Q2_YOUTUBE_LIKES_GROWTH | Q2_SPOTIFY_PLAYS_GROWTH | Q2_SPOTIFY_POPULARITY_GROWTH | Q2_TIKTOK_POSTS_GROWTH | Q2_AIRPLAY_STREAMS_GROWTH | Q3_YOUTUBE_VIEWS_GROWTH | Q3_YOUTUBE_LIKES_GROWTH | Q3_SPOTIFY_PLAYS_GROWTH | Q3_SPOTIFY_POPULARITY_GROWTH | Q3_TIKTOK_POSTS_GROWTH | Q3_AIRPLAY_STREAMS_GROWTH | Q4_YOUTUBE_VIEWS_GROWTH | Q4_YOUTUBE_LIKES_GROWTH | Q4_SPOTIFY_PLAYS_GROWTH | Q4_SPOTIFY_POPULARITY_GROWTH | Q4_TIKTOK_POSTS_GROWTH | Q4_AIRPLAY_STREAMS_GROWTH | GENRE | M1_YOUTUBE_VIEWS_GROWTH | M2_YOUTUBE_VIEWS_GROWTH | M3_YOUTUBE_VIEWS_GROWTH | M4_YOUTUBE_VIEWS_GROWTH | M5_YOUTUBE_VIEWS_GROWTH | M6_YOUTUBE_VIEWS_GROWTH | M7_YOUTUBE_VIEWS_GROWTH | M8_YOUTUBE_VIEWS_GROWTH | M9_YOUTUBE_VIEWS_GROWTH | M10_YOUTUBE_VIEWS_GROWTH | M11_YOUTUBE_VIEWS_GROWTH | M12_YOUTUBE_VIEWS_GROWTH | M1_YOUTUBE_LIKES_GROWTH | M2_YOUTUBE_LIKES_GROWTH | M3_YOUTUBE_LIKES_GROWTH | M4_YOUTUBE_LIKES_GROWTH | M5_YOUTUBE_LIKES_GROWTH | M6_YOUTUBE_LIKES_GROWTH | M7_YOUTUBE_LIKES_GROWTH | M8_YOUTUBE_LIKES_GROWTH | M9_YOUTUBE_LIKES_GROWTH | M10_YOUTUBE_LIKES_GROWTH | M11_YOUTUBE_LIKES_GROWTH | M12_YOUTUBE_LIKES_GROWTH | M1_SPOTIFY_PLAYS_GROWTH | M2_SPOTIFY_PLAYS_GROWTH | M3_SPOTIFY_PLAYS_GROWTH | M4_SPOTIFY_PLAYS_GROWTH | M5_SPOTIFY_PLAYS_GROWTH | M6_SPOTIFY_PLAYS_GROWTH | M7_SPOTIFY_PLAYS_GROWTH | M8_SPOTIFY_PLAYS_GROWTH | M9_SPOTIFY_PLAYS_GROWTH | M10_SPOTIFY_PLAYS_GROWTH | M11_SPOTIFY_PLAYS_GROWTH | M12_SPOTIFY_PLAYS_GROWTH | M1_SPOTIFY_POPULARITY_GROWTH | M2_SPOTIFY_POPULARITY_GROWTH | M3_SPOTIFY_POPULARITY_GROWTH | M4_SPOTIFY_POPULARITY_GROWTH | M5_SPOTIFY_POPULARITY_GROWTH | M6_SPOTIFY_POPULARITY_GROWTH | M7_SPOTIFY_POPULARITY_GROWTH | M8_SPOTIFY_POPULARITY_GROWTH | M9_SPOTIFY_POPULARITY_GROWTH | M10_SPOTIFY_POPULARITY_GROWTH | M11_SPOTIFY_POPULARITY_GROWTH | M12_SPOTIFY_POPULARITY_GROWTH | M1_TIKTOK_POSTS_GROWTH | M2_TIKTOK_POSTS_GROWTH | M3_TIKTOK_POSTS_GROWTH | M4_TIKTOK_POSTS_GROWTH | M5_TIKTOK_POSTS_GROWTH | M6_TIKTOK_POSTS_GROWTH | M7_TIKTOK_POSTS_GROWTH | M8_TIKTOK_POSTS_GROWTH | M9_TIKTOK_POSTS_GROWTH | M10_TIKTOK_POSTS_GROWTH | M11_TIKTOK_POSTS_GROWTH | M12_TIKTOK_POSTS_GROWTH | M1_AIRPLAY_STREAMS_GROWTH | M2_AIRPLAY_STREAMS_GROWTH | M3_AIRPLAY_STREAMS_GROWTH | M4_AIRPLAY_STREAMS_GROWTH | M5_AIRPLAY_STREAMS_GROWTH | M6_AIRPLAY_STREAMS_GROWTH | M7_AIRPLAY_STREAMS_GROWTH | M8_AIRPLAY_STREAMS_GROWTH | M9_AIRPLAY_STREAMS_GROWTH | M10_AIRPLAY_STREAMS_GROWTH | M11_AIRPLAY_STREAMS_GROWTH | M12_AIRPLAY_STREAMS_GROWTH | WK1_YT_VIEWS_GROWTH | WK2_YT_VIEWS_GROWTH | WK3_YT_VIEWS_GROWTH | WK4_YT_VIEWS_GROWTH | WK5_YT_VIEWS_GROWTH | WK6_YT_VIEWS_GROWTH | WK7_YT_VIEWS_GROWTH | WK8_YT_VIEWS_GROWTH | WK9_YT_VIEWS_GROWTH | WK10_YT_VIEWS_GROWTH | WK11_YT_VIEWS_GROWTH | WK12_YT_VIEWS_GROWTH | WK13_YT_VIEWS_GROWTH | WK14_YT_VIEWS_GROWTH | WK15_YT_VIEWS_GROWTH | WK1_SPOTIFY_PLAYS_GROWTH | WK2_SPOTIFY_PLAYS_GROWTH | WK3_SPOTIFY_PLAYS_GROWTH | WK4_SPOTIFY_PLAYS_GROWTH | WK5_SPOTIFY_PLAYS_GROWTH | WK6_SPOTIFY_PLAYS_GROWTH | WK7_SPOTIFY_PLAYS_GROWTH | WK8_SPOTIFY_PLAYS_GROWTH | WK9_SPOTIFY_PLAYS_GROWTH | WK10_SPOTIFY_PLAYS_GROWTH | WK11_SPOTIFY_PLAYS_GROWTH | WK12_SPOTIFY_PLAYS_GROWTH | WK13_SPOTIFY_PLAYS_GROWTH | WK14_SPOTIFY_PLAYS_GROWTH | WK15_SPOTIFY_PLAYS_GROWTH | WK1_TIKTOK_POSTS_GROWTH | WK2_TIKTOK_POSTS_GROWTH | WK3_TIKTOK_POSTS_GROWTH | WK4_TIKTOK_POSTS_GROWTH | WK5_TIKTOK_POSTS_GROWTH | WK6_TIKTOK_POSTS_GROWTH | WK7_TIKTOK_POSTS_GROWTH | WK8_TIKTOK_POSTS_GROWTH | WK9_TIKTOK_POSTS_GROWTH | WK10_TIKTOK_POSTS_GROWTH | WK11_TIKTOK_POSTS_GROWTH | WK12_TIKTOK_POSTS_GROWTH | WK13_TIKTOK_POSTS_GROWTH | WK14_TIKTOK_POSTS_GROWTH | WK15_TIKTOK_POSTS_GROWTH | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 881 | 15449405 | Sleepyhead | 777674 | Summer Festival | 2015-08-21 | Passion Pit | US | United States | 462882.0 | Pop | 1 | 1014622.0 | 13565.0 | 0.0 | 47.0 | 1095.0 | 0.0 | 13086217.0 | 72312.0 | 0.0 | -1.0 | 94.0 | 0.0 | 72125.0 | 1308.0 | 0.0 | -45.0 | 392.0 | 28.0 | 72502.0 | 1151.0 | 0.0 | 1.0 | 90.0 | 21.0 | Pop | 0.0 | 0.0 | 905995.0 | 13039383.0 | 22688.0 | 24146.0 | 22400.0 | 0.0 | 13144464.0 | 26307.0 | 23303.0 | 22892.0 | 0.0 | 0.0 | 12982.0 | 71645.0 | 304.0 | 363.0 | 397.0 | 0.0 | 73466.0 | 453.0 | 352.0 | 346.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 46.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | 0.0 | 0.0 | 215.0 | 61.0 | 37.0 | 37.0 | 20.0 | 61.0 | 229.0 | 102.0 | 0.0 | 125.0 | 5335.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | 8.0 | 14.0 | 7.0 | 7.0 | 7.0 | 0.0 | 0.0 | -21479909.0 | 0.0 | 0.0 | 0.0 | 0.0 | 874893.0 | -18727262.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -151584.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5046.0 | 5033.0 | 0.0 | 0.0 | 5132.0 | 0.0 | 0.0 |
| 1175 | 11542839 | Sodom und Gomorrha | 966302 | Sodom und Gomorrha | 2017-05-19 | Bushido | DE | Germany | 462883.0 | Hip-Hop/Rap | 1 | 1784.0 | 0.0 | 0.0 | 42.0 | 0.0 | 47.0 | 15838530.0 | 200905.0 | 0.0 | 7.0 | 0.0 | 64.0 | 249452.0 | 1438.0 | 0.0 | -49.0 | 7.0 | 70.0 | 326306.0 | 2334.0 | 0.0 | 53.0 | 5.0 | 48.0 | Hip-Hop/Rap | 0.0 | 77200.0 | 0.0 | 15678828.0 | 85411.0 | 74291.0 | 88958.0 | 83469.0 | 77025.0 | 78865.0 | 83019.0 | 164422.0 | 0.0 | 534.0 | 0.0 | 199814.0 | 547.0 | 544.0 | 514.0 | 499.0 | 425.0 | 420.0 | 553.0 | 1361.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 | 1.0 | 0.0 | 15.0 | 0.0 | 18.0 | 31.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 0.0 | 17.0 | 16.0 | 17.0 | 25.0 | 22.0 | 20.0 | 25.0 | 25.0 | 17.0 | 14.0 | 17.0 | 0.0 | 6355413.0 | 0.0 | 10232082.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 8665 | 11093750 | Eu Sei | 7358411 | Acustico para Ouvir Trabalhando | 2021-01-22 | LegiĂŁo Urbana | BR | Brazil | 462882.0 | Pop | 1 | 2294182.0 | 5405.0 | 0.0 | 3.0 | 0.0 | 2.0 | 13988346.0 | 55419.0 | 0.0 | 0.0 | 0.0 | 3.0 | 264765.0 | 2829.0 | 0.0 | -37.0 | 2.0 | 4.0 | 295781.0 | 2847.0 | 0.0 | 40.0 | 2.0 | 7.0 | Pop | 0.0 | 90013.0 | 0.0 | 13817784.0 | 94461.0 | 76101.0 | 85484.0 | 90710.0 | 88571.0 | 107654.0 | 88669.0 | 99458.0 | 0.0 | 870.0 | 0.0 | 53628.0 | 1025.0 | 766.0 | 937.0 | 1005.0 | 887.0 | 1010.0 | 829.0 | 1008.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 12.0 | 1.0 | 3.0 | 35.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 2.0 | 3.0 | 0.0 | 1.0 | 5.0 | 1.0 | 1.0 | 0.0 | 2952448.0 | 0.0 | 0.0 | 0.0 | 0.0 | 13781313.0 | 1059989.0 | 0.0 | 0.0 | 15612853.0 | 12694888.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 9348 | 15845018 | Birdie | 711880 | Pure Comedy | 2017-04-07 | Father John Misty | US | United States | 462930.0 | Indie Rock | 1 | 0.0 | 0.0 | 0.0 | 34.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -9.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | Alternative | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 26.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 10619 | 12427117 | Close To You | 5143821 | smoothfm presents: Feel Good Music | 2016-11-18 | Maxi Priest | GB | United Kingdom | 462896.0 | Reggae | 1 | 2321.0 | 0.0 | 0.0 | 55.0 | 29.0 | 1498.0 | 11580220.0 | 82156.0 | 0.0 | 0.0 | 96.0 | 1762.0 | 351389.0 | 3468.0 | 1412294.0 | -1.0 | 68.0 | 1933.0 | 317927.0 | 3037.0 | 1341642.0 | 2.0 | 8.0 | 1542.0 | Pop | 0.0 | 89434.0 | 0.0 | 48565.0 | 11435468.0 | 96187.0 | 118968.0 | 120452.0 | 111969.0 | 0.0 | 12160011.0 | 89220.0 | 0.0 | 835.0 | 0.0 | 368.0 | 80799.0 | 989.0 | 1254.0 | 1156.0 | 1058.0 | 0.0 | 87811.0 | 848.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 452662.0 | 486794.0 | 461911.0 | 463589.0 | 473012.0 | 447597.0 | 421033.0 | 0.0 | 0.0 | 30.0 | 0.0 | 49.0 | 1.0 | 0.0 | 0.0 | 54.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 25.0 | 30.0 | 50.0 | 16.0 | 0.0 | 0.0 | 177.0 | 0.0 | 95.0 | 0.0 | 0.0 | 508.0 | 521.0 | 541.0 | 635.0 | 586.0 | 663.0 | 659.0 | 611.0 | 578.0 | 475.0 | 489.0 | 0.0 | 0.0 | 1795437.0 | 4629847.0 | 0.0 | 0.0 | 567877.0 | 0.0 | -71330297.0 | 11161423.0 | 0.0 | -76864212.0 | 0.0 | -3675513.0 | -481407.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -339.0 | -11677.0 | 0.0 | -208.0 | -94.0 | -54.0 | 0.0 |
| 13625 | 15898416 | Marciano (I Turned Into A Martian) | 7095218 | Mix Explota | 2020-12-04 | Molotov | MX | Mexico | 462951.0 | Latin | 1 | 1791499.0 | 10427.0 | 0.0 | 10.0 | 16.0 | 30.0 | 15812249.0 | 51690.0 | 0.0 | 45.0 | 332.0 | 46.0 | 288567.0 | 2504.0 | 0.0 | -1.0 | 285.0 | 25.0 | 258362.0 | 2374.0 | 0.0 | 3.0 | 197.0 | 15.0 | Latin | 0.0 | 0.0 | 47347.0 | 0.0 | 48598.0 | 16615324.0 | 0.0 | 41524.0 | 15877811.0 | 82702.0 | 90994.0 | 84666.0 | 0.0 | 0.0 | 284.0 | 0.0 | 419.0 | 53952.0 | 0.0 | 240.0 | 52877.0 | 788.0 | 792.0 | 794.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 388379.0 | 0.0 | 1.0 | 0.0 | 45.0 | 0.0 | 0.0 | 0.0 | 0.0 | 53.0 | 2.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 99.0 | 130.0 | 103.0 | 87.0 | 120.0 | 78.0 | 103.0 | 0.0 | 0.0 | 0.0 | 9.0 | 14.0 | 18.0 | 25.0 | 3.0 | 6.0 | 13.0 | 6.0 | 5.0 | 3.0 | 7.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1455387.0 | 17150537.0 | -2127061.0 | 0.0 | 0.0 | 15413330.0 | -154705.0 | 1798399.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -155.0 | -350.0 | 0.0 | -557.0 | -220.0 | 0.0 |
| 15662 | 13444897 | Birdie | 11805551 | México Rocks | 2021-06-04 | León Larregui | MX | Mexico | 462951.0 | Latin | 1 | 2200.0 | 18.0 | 0.0 | 56.0 | 73.0 | 0.0 | 13298802.0 | 98599.0 | 0.0 | -1.0 | 53.0 | 0.0 | 174198.0 | 1884.0 | 0.0 | -1.0 | -124.0 | 0.0 | 179077.0 | 2076.0 | 0.0 | 3.0 | 148.0 | 1.0 | Alternative | 0.0 | 73996.0 | 0.0 | 13189367.0 | 56309.0 | 53126.0 | 53887.0 | 60486.0 | 59825.0 | 0.0 | 13524590.0 | 66109.0 | 0.0 | 607.0 | 0.0 | 97452.0 | 603.0 | 544.0 | 532.0 | 652.0 | 700.0 | 0.0 | 101234.0 | 828.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 409776.0 | 0.0 | 0.0 | 54.0 | 0.0 | 54.0 | 1.0 | 0.0 | 0.0 | 52.0 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 73.0 | 21.0 | 16.0 | 16.0 | 0.0 | 21.0 | 0.0 | 111.0 | 27.0 | 10.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 502205.0 | 0.0 | 12599689.0 | 0.0 | 7698828.0 | 0.0 | -182656955.0 | 0.0 | 0.0 | -12713936.0 | -22175750.0 | -5476334.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -25.0 | 0.0 | 0.0 | -376.0 | -173.0 | -1309.0 | 0.0 |
| 19061 | 13248355 | Rotten | 1885381 | Suicidol Post Mortem | 2016-06-03 | Nitro | IT | Italy | 462883.0 | Hip-Hop/Rap | 1 | 2232.0 | 0.0 | 0.0 | 31.0 | 16.0 | 0.0 | 14824376.0 | 186772.0 | 0.0 | -1.0 | 89.0 | 0.0 | 46098.0 | 643.0 | 1066328.0 | -1.0 | -774.0 | 0.0 | 46996.0 | 679.0 | 1072535.0 | 2.0 | 787.0 | 0.0 | Hip-Hop/Rap | 0.0 | 26951.0 | 0.0 | 14796308.0 | 16447.0 | 11621.0 | 11291.0 | 16440.0 | 18367.0 | 18119.0 | 14771.0 | 14106.0 | 0.0 | 502.0 | 0.0 | 186317.0 | 281.0 | 174.0 | 158.0 | 248.0 | 237.0 | 252.0 | 230.0 | 197.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 357252.0 | 351544.0 | 362252.0 | 352532.0 | 390152.0 | 318164.0 | 364219.0 | 0.0 | 0.0 | 24.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 32.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 2.0 | 11.0 | 72.0 | 6.0 | 0.0 | 0.0 | 0.0 | 0.0 | 788.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5833873.0 | 0.0 | 0.0 | 0.0 | 14162503.0 | -1801487.0 | 0.0 | 0.0 | 0.0 | 0.0 | 14639575.0 | 0.0 | 14751875.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 22026 | 15777289 | La Pared | 1719094 | Fijacion Oral/Oral Fixation Vol. 2 | 2005-01-01 | Shakira | CO | Colombia | 462951.0 | Latin | 1 | 2011.0 | 0.0 | 0.0 | 57.0 | 72.0 | 8.0 | 14238142.0 | 40634.0 | 0.0 | -2.0 | 7.0 | 9.0 | 134465.0 | 861.0 | 0.0 | -2.0 | -64.0 | 12.0 | 133341.0 | 819.0 | 1031630.0 | 2.0 | 82.0 | 12.0 | Latin | 0.0 | 113728.0 | 0.0 | 14129657.0 | 50218.0 | 58267.0 | 50757.0 | 36650.0 | 47058.0 | 45299.0 | 42039.0 | 46003.0 | 0.0 | 470.0 | 0.0 | 39987.0 | 276.0 | 371.0 | 314.0 | 230.0 | 317.0 | 297.0 | 264.0 | 258.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 232047.0 | 413551.0 | 316001.0 | 302078.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 70.0 | 3.0 | 3.0 | 1.0 | 0.0 | 0.0 | 6.0 | 5.0 | 76.0 | 1.0 | 0.0 | 3.0 | 3.0 | 4.0 | 3.0 | 2.0 | 4.0 | 4.0 | 4.0 | 4.0 | 2.0 | 6.0 | 0.0 | -59056127.0 | -99370.0 | 0.0 | 0.0 | 0.0 | -120945460.0 | -202976782.0 | 13926458.0 | 13973910.0 | 0.0 | 7534944.0 | -4895987.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -207.0 | 20.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 22483 | 53240751 | Game Over | 13190802 | Game Over | 2021-07-16 | The Heavytrackerz | GB | United Kingdom | 462883.0 | Hip-Hop/Rap | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -7.0 | 0.0 | 9.0 | African | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 7219.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 8.0 | 0.0 | 4.0 | 2.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 24834 | 65742148 | Me Gusta | 16685800 | Baby Girl - EP | 2021-11-04 | None | None | None | NaN | None | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | None | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 52060.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1453.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 24987 | 20538894 | Sleepyhead | 3960738 | NGX: Ten Years of Neon Gold | 2018-09-28 | Young & Sick | US | United States | 462882.0 | Pop | 1 | 0.0 | 0.0 | 0.0 | 44.0 | 33.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | 13.0 | 0.0 | 0.0 | 0.0 | 300871.0 | -46.0 | 0.0 | 0.0 | 0.0 | 0.0 | 302834.0 | 46.0 | 0.0 | 0.0 | Pop | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 99738.0 | 104329.0 | 105816.0 | 90726.0 | 112740.0 | 90071.0 | 100023.0 | 0.0 | 0.0 | 44.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 44.0 | 0.0 | 0.0 | 20.0 | 13.0 | 7.0 | 0.0 | 1.0 | 6.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 215.0 | -580.0 |
| 25883 | 22495339 | Me Arrependi - Ao Vivo | 3852101 | Ao Cubo, Ao Vivo, Em Cores (EP) | 2019-02-25 | Sorriso Maroto | BR | Brazil | 462882.0 | Pop | 1 | 758158.0 | 52.0 | 0.0 | 5.0 | 0.0 | 2.0 | 17925167.0 | 76947.0 | 0.0 | 41.0 | 0.0 | 5.0 | 89376.0 | 452.0 | 0.0 | -46.0 | 0.0 | 1.0 | 73496.0 | 314.0 | 0.0 | 5.0 | 0.0 | 0.0 | Hip-Hop/Rap | 0.0 | 60211.0 | 0.0 | 17850843.0 | 43963.0 | 30361.0 | 30065.0 | 33057.0 | 26254.0 | 28346.0 | 23183.0 | 21967.0 | 0.0 | 187.0 | 0.0 | 76633.0 | 200.0 | 114.0 | 164.0 | 143.0 | 145.0 | 138.0 | 89.0 | 87.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 44.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 4.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 8719481.0 | 0.0 | -548133527.0 | 0.0 | 0.0 | 0.0 | 0.0 | 16802458.0 | 0.0 | 13287538.0 | 0.0 | 0.0 | 18365175.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 26125 | 15776341 | Game Over | 1028799 | U Gotta Feel Me | 2004-03-30 | Lil' Flip | US | United States | 462883.0 | Hip-Hop/Rap | 1 | 1015926.0 | 6743.0 | 0.0 | 31.0 | 246.0 | 76.0 | 2198210.0 | 49258.0 | 0.0 | -1.0 | -2.0 | 78.0 | -2171521.0 | -48867.0 | 808729.0 | -1.0 | 217.0 | 84.0 | 3518742.0 | 67407.0 | 1824760.0 | 3.0 | 195.0 | 57.0 | Hip-Hop/Rap | 0.0 | 1316867.0 | 0.0 | 4509.0 | 4177.0 | 2189524.0 | 226521.0 | 220339.0 | 0.0 | 3031821.0 | 0.0 | 4536112.0 | 0.0 | 37166.0 | 0.0 | 49.0 | 55.0 | 49154.0 | 2912.0 | 3079.0 | 0.0 | 60270.0 | 0.0 | 74504.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 257492.0 | 278936.0 | 266492.0 | 263301.0 | 319909.0 | 244417.0 | 1260434.0 | 0.0 | 1.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 34.0 | 2.0 | 0.0 | 1.0 | 0.0 | 190.0 | 52.0 | 38.0 | 50.0 | 0.0 | 0.0 | 33.0 | 422.0 | 0.0 | 448.0 | 111.0 | 0.0 | 27.0 | 29.0 | 23.0 | 29.0 | 26.0 | 36.0 | 26.0 | 22.0 | 25.0 | 14.0 | 18.0 | 0.0 | 0.0 | 0.0 | -60278811.0 | 0.0 | 0.0 | 0.0 | 0.0 | 731537.0 | 0.0 | 0.0 | 0.0 | -14695423.0 | 2415026.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 173.0 | 0.0 | 0.0 | 0.0 | 41.0 | -62.0 | 261.0 |
| 26250 | 11122990 | Eu Sei | 3190342 | Revanche | 2010-07-23 | Fresno | BR | Brazil | 462959.0 | Latin Rock | 1 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0.0 | Latin | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 27108 | 15926931 | Semicolon | 12496986 | The Wack Album | 2013-01-01 | The Lonely Island | US | United States | 462883.0 | Hip-Hop/Rap | 1 | 129996.0 | 1468.0 | 0.0 | 42.0 | 0.0 | 0.0 | 15922462.0 | 112668.0 | 0.0 | -1.0 | 0.0 | 0.0 | 88504.0 | 734.0 | 0.0 | -14.0 | 0.0 | 0.0 | 92633.0 | 1127.0 | 0.0 | -27.0 | 0.0 | 0.0 | Comedy | 0.0 | 43560.0 | 0.0 | 15855046.0 | 37929.0 | 29487.0 | 30413.0 | 30871.0 | 27220.0 | 30142.0 | 34384.0 | 28107.0 | 0.0 | 394.0 | 0.0 | 112090.0 | 334.0 | 244.0 | 238.0 | 238.0 | 258.0 | 244.0 | 586.0 | 297.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 13.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 27.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 11187300.0 | -504678.0 | -21093417.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 15887374.0 | 0.0 | 0.0 | 1970854.0 | -49858800.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 28086 | 11888703 | Que Electricidad | 847632 | Sonorama Ribera 2016 | 2016-07-22 | Carlos Sadness | ES | Spain | 462951.0 | Latin | 1 | 3066.0 | 1.0 | 0.0 | 30.0 | 0.0 | 0.0 | 16625651.0 | 109406.0 | 0.0 | -1.0 | 0.0 | 1.0 | 372881.0 | 2150.0 | 0.0 | -2.0 | 0.0 | 27.0 | 300557.0 | 1706.0 | 0.0 | 2.0 | 0.0 | 0.0 | Latin | 0.0 | 204372.0 | 0.0 | 16324910.0 | 177186.0 | 123555.0 | 136097.0 | 130906.0 | 105878.0 | 113814.0 | 86817.0 | 99926.0 | 0.0 | 1041.0 | 0.0 | 107746.0 | 981.0 | 679.0 | 719.0 | 810.0 | 621.0 | 623.0 | 555.0 | 528.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 353093.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 28.0 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 10.0 | 6.0 | 10.0 | 10.0 | 0.0 | 0.0 | 9.0 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 26.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 12156073.0 | 0.0 | 0.0 | 0.0 | -139776647.0 | 0.0 | 9159288.0 | -22354897.0 | 0.0 | 0.0 | 0.0 | 6135897.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 30092 | 15712206 | Like The Rain | 1506172 | 16 Biggest Hits | 2006-01-01 | Clint Black | US | United States | 462895.0 | Country | 1 | 145841.0 | 6755.0 | 0.0 | 24.0 | 191.0 | 139.0 | 12652348.0 | 54364.0 | 0.0 | 0.0 | 285.0 | 61.0 | 129748.0 | 1209.0 | 0.0 | -23.0 | -1275.0 | 135.0 | 111008.0 | 1130.0 | 0.0 | 22.0 | 1804.0 | 124.0 | Country | 0.0 | 0.0 | 6914.0 | 12547378.0 | 0.0 | 12637502.0 | 0.0 | 12711019.0 | 42194.0 | 35148.0 | 38854.0 | 37006.0 | 0.0 | 0.0 | 80.0 | 53269.0 | 0.0 | 54194.0 | 0.0 | 54822.0 | 416.0 | 371.0 | 392.0 | 367.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 20.0 | 0.0 | 0.0 | 67.0 | 67.0 | 69.0 | 67.0 | 149.0 | 142.0 | 0.0 | 32.0 | 0.0 | 375.0 | 1738.0 | 0.0 | 46.0 | 51.0 | 54.0 | 1.0 | 6.0 | 42.0 | 41.0 | 52.0 | 57.0 | 35.0 | 32.0 | 0.0 | 0.0 | -333470918.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -68027660.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -25049.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1233.0 | -52115.0 | -1634.0 | -12486.0 | 0.0 | 0.0 | 1340.0 |
| 30787 | 12233568 | Palabra Mi Amor | 539088 | The Geeks And The Jerkin' Socks | 2011-06-06 | Shaka Ponk | DE | Germany | 462888.0 | Alternative | 1 | 2019228.0 | 898.0 | 0.0 | 47.0 | 0.0 | 46.0 | 11952134.0 | 41833.0 | 0.0 | -1.0 | 0.0 | 53.0 | 242191.0 | 1238.0 | 382444.0 | -46.0 | 0.0 | 55.0 | 241220.0 | 1275.0 | 377058.0 | 49.0 | 4.0 | 57.0 | Alternative | 0.0 | 0.0 | 140616.0 | 11788681.0 | 80249.0 | 83204.0 | 84238.0 | 0.0 | 11603291.0 | 83727.0 | 67428.0 | 90065.0 | 0.0 | 0.0 | 378.0 | 41079.0 | 362.0 | 392.0 | 442.0 | 0.0 | 41421.0 | 437.0 | 341.0 | 497.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 98244.0 | 131375.0 | 126364.0 | 124705.0 | 130079.0 | 111633.0 | 135346.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 49.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | 1.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 16.0 | 19.0 | 16.0 | 20.0 | 17.0 | 17.0 | 19.0 | 19.0 | 20.0 | 18.0 | 19.0 | 3014165.0 | 381844.0 | 0.0 | -170109.0 | -64618533.0 | -29196247.0 | 0.0 | 0.0 | -33996771.0 | 0.0 | 13666017.0 | 0.0 | 0.0 | 0.0 | 1967726.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 35287 | 32084722 | Close To You | 7064781 | Close To You | 2020-11-27 | Le Dib | BR | Brazil | 462882.0 | Pop | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -16.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0.0 | 0.0 | Electronic | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 35380 | 13342400 | Me Gusta | 3266925 | Fuori Da Qui | 2016-04-22 | Jake La Furia | IT | Italy | 462883.0 | Hip-Hop/Rap | 1 | 2262.0 | 0.0 | 0.0 | 45.0 | 0.0 | 3.0 | 15584768.0 | 70492.0 | 0.0 | 1.0 | 0.0 | 3.0 | 244368.0 | 826.0 | 0.0 | -46.0 | -308.0 | 3.0 | 165805.0 | 569.0 | 0.0 | 0.0 | 323.0 | 3.0 | Hip-Hop/Rap | 0.0 | 74764.0 | 0.0 | 15361062.0 | 0.0 | 15449444.0 | 91538.0 | 0.0 | 15773551.0 | 61152.0 | 46699.0 | 57954.0 | 0.0 | 216.0 | 0.0 | 69774.0 | 0.0 | 69599.0 | 312.0 | 0.0 | 71246.0 | 189.0 | 166.0 | 214.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | 6.0 | 3.0 | 0.0 | 1.0 | 0.0 | 323.0 | 0.0 | 2.0 | 0.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | -472276816.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 14737802.0 | -6165163.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 38411 | 20245620 | Close To You | 2655963 | Enjoy | 2018-06-27 | Sakurako Ohara | JP | Japan | 462924.0 | J-Pop | 1 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 12.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | J-Pop | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 13.0 | 0.0 | 0.0 | 0.0 | 0.0 | 12.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 41374 | 23040457 | Adi Ennadi Raakkamma (From "Pattikkada Pattana... | 7952132 | Pattikkada Pattanama (Original Motion Picture ... | 1972-12-01 | T. M. Soundararajan | IN | India | 462970.0 | Indian Pop | 1 | 128592.0 | 100.0 | 0.0 | 19.0 | 0.0 | 4.0 | 13379502.0 | 23011.0 | 0.0 | -18.0 | 0.0 | 2.0 | 101930.0 | 248.0 | 0.0 | 17.0 | 0.0 | 7.0 | 219011.0 | 781.0 | 80672.0 | 1.0 | 0.0 | 8.0 | Devotional & Spiritual | 0.0 | 11946179.0 | 0.0 | 13304090.0 | 0.0 | 12085797.0 | 0.0 | 13409400.0 | 43765.0 | 0.0 | 0.0 | 13635864.0 | 0.0 | 21114.0 | 0.0 | 22926.0 | 0.0 | 21098.0 | 0.0 | 22901.0 | 164.0 | 0.0 | 0.0 | 23467.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 30421.0 | 0.0 | 0.0 | 1.0 | 5.0 | 0.0 | 0.0 | 0.0 | 23.0 | 0.0 | 0.0 | 18.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 2.0 | 0.0 | 5.0 | 3.0 | 3.0 | 2.0 | 0.0 | 0.0 | -2844135.0 | 0.0 | 0.0 | 11116868.0 | 0.0 | -18374218.0 | 13184248.0 | 12289281.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 41699 | 13252955 | Elegy For The Arctic | 14028809 | éłæšçĄç ćž« | 2021-03-11 | Ludovico Einaudi | IT | Italy | 462894.0 | New Age | 1 | 2205.0 | 60.0 | 0.0 | 56.0 | 0.0 | 2.0 | 15823062.0 | 303376.0 | 0.0 | -10.0 | 0.0 | 10.0 | 374803.0 | 7977.0 | 0.0 | 7.0 | 0.0 | 3.0 | 455288.0 | 10314.0 | 0.0 | 3.0 | 4.0 | 3.0 | Classical | 0.0 | 0.0 | 0.0 | 15571711.0 | 0.0 | 15819418.0 | 91506.0 | 125279.0 | 158018.0 | 0.0 | 16481842.0 | 171258.0 | 0.0 | 0.0 | 0.0 | 297866.0 | 0.0 | 303334.0 | 1898.0 | 2675.0 | 3404.0 | 0.0 | 317652.0 | 4014.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 7.0 | 1.0 | 0.0 | 0.0 | 0.0 | 6.0 | 0.0 | 54.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 9.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | -3536086.0 | 13167747.0 | -3624365.0 | 0.0 | 0.0 | 0.0 | -473472.0 | 0.0 | 14452013.0 | 0.0 | 0.0 | -43183783.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -347.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 42939 | 11078840 | Eu Sei | 1606051 | Eu Sei | 2017-04-14 | DJ PV | GB | United Kingdom | 462879.0 | Christian | 1 | 0.0 | 0.0 | 0.0 | 2.0 | 10.0 | 3.0 | 0.0 | 0.0 | 0.0 | -1.0 | 7.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | Christian | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 8.0 | 4.0 | 2.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 27.0 | 51.0 | -278.0 | 75.0 | 0.0 | -11299.0 | 0.0 |
| 46330 | 11133514 | Zero Boi - Ao Vivo | 7317633 | Chora Sanfona | 2021-01-15 | Mano Walter | BR | Brazil | 462877.0 | Sertanejo | 1 | 201331.0 | 24.0 | 0.0 | 0.0 | 0.0 | 0.0 | 12724810.0 | 75105.0 | 0.0 | 0.0 | 0.0 | 0.0 | 134055.0 | 1275.0 | 0.0 | 0.0 | 0.0 | 0.0 | 131488.0 | 1297.0 | 0.0 | 26.0 | 0.0 | 0.0 | Pop | 0.0 | 43583.0 | 0.0 | 12636803.0 | 0.0 | 12709779.0 | 0.0 | 12778235.0 | 50961.0 | 41195.0 | 0.0 | 12936269.0 | 0.0 | 337.0 | 0.0 | 74198.0 | 0.0 | 74991.0 | 0.0 | 75639.0 | 486.0 | 393.0 | 0.0 | 77204.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 39.0 | 0.0 | 0.0 | 27.0 | 0.0 | 0.0 | 25.0 | 0.0 | 26.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 8290664.0 | 0.0 | 0.0 | 0.0 | 0.0 | 12651447.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 46657 | 24032840 | Hey | 4506461 | bops etc. | 2019-06-14 | Alfie Templeman | GB | United Kingdom | 462884.0 | Rock | 1 | 0.0 | 0.0 | 0.0 | 38.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -38.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | Alternative | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 53246 | 15692913 | Roam | 5150439 | 80s: The Collection | 2019-08-30 | The B-52's | US | United States | 462882.0 | Pop | 1 | 443245.0 | 448.0 | 0.0 | 21.0 | 156.0 | 415.0 | 17210179.0 | 86145.0 | 0.0 | 37.0 | 20.0 | 447.0 | 781806.0 | 5881.0 | 1629584.0 | -1.0 | 55.0 | 206.0 | 706543.0 | 5131.0 | 1811347.0 | 3.0 | -37.0 | 390.0 | Alternative | 0.0 | 279417.0 | 0.0 | 16686297.0 | 279202.0 | 244680.0 | 290465.0 | 270124.0 | 221217.0 | 246616.0 | 233249.0 | 226678.0 | 0.0 | 2003.0 | 0.0 | 82468.0 | 2001.0 | 1676.0 | 2144.0 | 1941.0 | 1796.0 | 1932.0 | 1675.0 | 1524.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 546010.0 | 539199.0 | 539381.0 | 551004.0 | 651472.0 | 604998.0 | 554877.0 | 0.0 | 0.0 | 7.0 | 0.0 | 50.0 | 0.0 | 0.0 | 0.0 | 37.0 | 2.0 | 0.0 | 1.0 | 0.0 | 143.0 | 7.0 | 9.0 | 4.0 | 7.0 | 0.0 | 191.0 | 23.0 | 41.0 | 19.0 | 0.0 | 0.0 | 85.0 | 262.0 | 295.0 | 92.0 | 60.0 | 56.0 | 66.0 | 84.0 | 123.0 | 133.0 | 134.0 | -18226607.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 16564808.0 | -40908894.0 | -27158303.0 | 16765503.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -3400.0 | 98.0 | -96.0 | 2.0 | 0.0 |
| 54434 | 11770206 | Bedingungslos | 2918076 | Muttersprache (Special Deluxe Version) | 2016-11-04 | Sarah Connor | DE | Germany | 462882.0 | Pop | 1 | 2669.0 | 0.0 | 0.0 | 3.0 | 0.0 | 153.0 | 17825791.0 | 78489.0 | 0.0 | 16.0 | 0.0 | 158.0 | 427555.0 | 2336.0 | 0.0 | -22.0 | 0.0 | 0.0 | 513014.0 | 2612.0 | 0.0 | 24.0 | 0.0 | 4.0 | Pop | 0.0 | 178132.0 | 0.0 | 17535695.0 | 0.0 | 17692896.0 | 127056.0 | 0.0 | 18101144.0 | 179032.0 | 0.0 | 18592583.0 | 0.0 | 743.0 | 0.0 | 77041.0 | 0.0 | 77292.0 | 679.0 | 0.0 | 79498.0 | 950.0 | 0.0 | 81945.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 16.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 21.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 36.0 | 57.0 | 61.0 | 54.0 | 43.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 13737138.0 | 0.0 | 0.0 | -1554412.0 | 0.0 | 17092194.0 | 171151.0 | 0.0 | 17335577.0 | 0.0 | 94344.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 54704 | 13066184 | Game Over | 2967788 | Third Strike | 2010-01-01 | Devlin | GB | United Kingdom | 462883.0 | Hip-Hop/Rap | 1 | 3111.0 | 0.0 | 0.0 | 4.0 | 0.0 | 7.0 | 16990931.0 | 69000.0 | 0.0 | -1.0 | 0.0 | 6.0 | 109512.0 | 708.0 | 0.0 | 0.0 | 0.0 | 2.0 | 117114.0 | 873.0 | 0.0 | 0.0 | 0.0 | 4.0 | Dance | 0.0 | 42825.0 | 0.0 | 16903110.0 | 49122.0 | 38699.0 | 39093.0 | 38786.0 | 31633.0 | 43207.0 | 35358.0 | 38549.0 | 0.0 | 273.0 | 0.0 | 68415.0 | 335.0 | 250.0 | 243.0 | 248.0 | 217.0 | 347.0 | 264.0 | 262.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 2.0 | 3.0 | 1.0 | 2.0 | 1.0 | 1.0 | 0.0 | 0.0 | 1.0 | 3.0 | 0.0 | 0.0 | 0.0 | 16465300.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 16718685.0 | 12862069.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 55104 | 13248589 | Guardami amore | 229540 | Guardami amore | 2016-03-11 | Francesco Renga | IT | Italy | 462884.0 | Rock | 1 | 2230.0 | 0.0 | 0.0 | 26.0 | 8.0 | 17.0 | 13700257.0 | 43352.0 | 0.0 | -1.0 | 22.0 | 22.0 | 175250.0 | 664.0 | 0.0 | -27.0 | -135.0 | 17.0 | 127892.0 | 499.0 | 0.0 | 0.0 | 172.0 | 20.0 | Alternative | 0.0 | 66968.0 | 0.0 | 13588054.0 | 61466.0 | 50737.0 | 48971.0 | 60985.0 | 65294.0 | 0.0 | 13965946.0 | 37437.0 | 0.0 | 212.0 | 0.0 | 42921.0 | 226.0 | 205.0 | 222.0 | 236.0 | 206.0 | 0.0 | 44401.0 | 114.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 53630.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 24.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | 8.0 | 8.0 | 7.0 | 7.0 | 0.0 | 166.0 | 0.0 | 0.0 | 0.0 | 5.0 | 6.0 | 9.0 | 4.0 | 9.0 | 9.0 | 5.0 | 3.0 | 7.0 | 5.0 | 8.0 | 0.0 | 0.0 | 0.0 | 0.0 | 11903849.0 | 2105680.0 | 0.0 | 0.0 | 0.0 | 11222775.0 | 0.0 | 13228397.0 | 0.0 | 0.0 | 13437065.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1147.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 61486 | 15286163 | Bro Hymn | 3928439 | Pennywise (2005 Remaster) | 1991-10-22 | Pennywise | US | United States | 462888.0 | Alternative | 1 | 2278.0 | 1.0 | 0.0 | 62.0 | 257.0 | 57.0 | 16513406.0 | 69843.0 | 0.0 | -1.0 | 87.0 | 44.0 | 292812.0 | 2101.0 | 2355785.0 | -1.0 | 139.0 | 47.0 | 225800.0 | 1773.0 | 2384073.0 | 2.0 | 183.0 | 56.0 | Alternative | 0.0 | 91692.0 | 0.0 | 16212496.0 | 157626.0 | 143284.0 | 118871.0 | 93495.0 | 80446.0 | 87857.0 | 0.0 | 17009847.0 | 0.0 | 536.0 | 0.0 | 68147.0 | 867.0 | 829.0 | 811.0 | 677.0 | 613.0 | 680.0 | 0.0 | 73534.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 816771.0 | 737261.0 | 863416.0 | 755108.0 | 853265.0 | 713387.0 | 817421.0 | 0.0 | 1.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 | 0.0 | 14.0 | 31.0 | 25.0 | 34.0 | 28.0 | 0.0 | 433.0 | 38.0 | 88.0 | 0.0 | 0.0 | 0.0 | 18.0 | 22.0 | 11.0 | 11.0 | 22.0 | 12.0 | 12.0 | 23.0 | 19.0 | 19.0 | 18.0 | 0.0 | 0.0 | 0.0 | 0.0 | 14125654.0 | 0.0 | 15481499.0 | 9382508.0 | -44622828.0 | 0.0 | 0.0 | 0.0 | -71984695.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -4675.0 | 225.0 | -389.0 | 0.0 | 0.0 | -192.0 | 292.0 | 0.0 | 0.0 |
| 61826 | 11155754 | Subdivisions | 5159629 | Chronicles | 1990-01-01 | Rush | CA | Canada | 462941.0 | Hard Rock | 1 | 2364972.0 | 916.0 | 0.0 | 4.0 | 0.0 | 0.0 | 13818677.0 | 75949.0 | 0.0 | -1.0 | 0.0 | 11.0 | 800943.0 | 4820.0 | 0.0 | -36.0 | 0.0 | 147.0 | 832423.0 | 4988.0 | 0.0 | 1.0 | 0.0 | 170.0 | Hard Rock | 0.0 | 0.0 | 39664.0 | 13223152.0 | 279500.0 | 316025.0 | 286047.0 | 0.0 | 14469719.0 | 298326.0 | 253720.0 | 280377.0 | 0.0 | 0.0 | 306.0 | 72445.0 | 1577.0 | 1927.0 | 1692.0 | 0.0 | 79511.0 | 1766.0 | 1530.0 | 1692.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 11.0 | 73.0 | 43.0 | 31.0 | 64.0 | 53.0 | 53.0 | 0.0 | 0.0 | 0.0 | 12406333.0 | 0.0 | 0.0 | 13813306.0 | 0.0 | 0.0 | 0.0 | 12622779.0 | 10339189.0 | -36035349.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 62295 | 15265838 | Mouth For War | 9641021 | Kickass Metal Anthems | 2021-05-14 | Pantera | US | United States | 462884.0 | Rock | 1 | 409331.0 | 535.0 | 0.0 | 59.0 | 88.0 | 59.0 | 17044744.0 | 115283.0 | 0.0 | 0.0 | 13.0 | 54.0 | 580367.0 | 5962.0 | 0.0 | -2.0 | -117.0 | 0.0 | 528384.0 | 5430.0 | 0.0 | 2.0 | 119.0 | 0.0 | Hard Rock | 0.0 | 186388.0 | 0.0 | 23570.0 | 24027.0 | 16997147.0 | 0.0 | 17335233.0 | 196751.0 | 175435.0 | 170129.0 | 182820.0 | 0.0 | 1846.0 | 0.0 | 300.0 | 308.0 | 114675.0 | 0.0 | 117923.0 | 2111.0 | 1789.0 | 1737.0 | 1904.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 590071.0 | 0.0 | 0.0 | 59.0 | 0.0 | 38.0 | 0.0 | 0.0 | 0.0 | 37.0 | 2.0 | 0.0 | 0.0 | 0.0 | 73.0 | 13.0 | 3.0 | 3.0 | 7.0 | 0.0 | 11.0 | 8.0 | 28.0 | 54.0 | 37.0 | 0.0 | 19.0 | 20.0 | 17.0 | 12.0 | 25.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 16165461.0 | 0.0 | -3708840.0 | 14287112.0 | 0.0 | 16538042.0 | 0.0 | 0.0 | 0.0 | -246939154.0 | 16651870.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -3753.0 | 0.0 | 0.0 | 0.0 | 0.0 | -376.0 | -23922.0 | 0.0 |
| 62500 | 13495602 | Hey | 3912712 | Hey! | 1980-01-01 | Julio Iglesias | ES | Spain | 462951.0 | Latin | 1 | 1869814.0 | 651.0 | 0.0 | 6.0 | 0.0 | 60.0 | 13122894.0 | 47100.0 | 0.0 | 17.0 | 0.0 | 57.0 | 532382.0 | 3323.0 | 0.0 | -2.0 | 0.0 | 20.0 | 493781.0 | 3314.0 | 0.0 | 3.0 | 0.0 | 14.0 | Latin | 0.0 | 0.0 | 45345.0 | 12756001.0 | 166504.0 | 200389.0 | 190424.0 | 0.0 | 13232545.0 | 166100.0 | 150448.0 | 177233.0 | 0.0 | 0.0 | 311.0 | 44874.0 | 997.0 | 1229.0 | 1107.0 | 0.0 | 47830.0 | 1130.0 | 1127.0 | 1057.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 16.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 | 15.0 | 21.0 | 19.0 | 17.0 | 13.0 | 3.0 | 4.0 | 7.0 | 4.0 | 3.0 | 0.0 | -582982.0 | 0.0 | 0.0 | 12398741.0 | 0.0 | -7463365.0 | 317925.0 | 0.0 | 0.0 | 0.0 | -1826002.0 | -17635428.0 | 0.0 | 1676097.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 66096 | 11486035 | Wat is' denn los mit Dir | 3098392 | Wat is' denn los mit dir | 2014-04-25 | Majoe | DE | Germany | 462883.0 | Hip-Hop/Rap | 1 | 1520629.0 | 78241.0 | 0.0 | 40.0 | 3.0 | 0.0 | 13811866.0 | 92493.0 | 0.0 | -1.0 | 32.0 | 0.0 | 65847.0 | 896.0 | 0.0 | -39.0 | 0.0 | 0.0 | 48426.0 | 634.0 | 0.0 | 0.0 | 0.0 | 0.0 | Hip-Hop/Rap | 0.0 | 25107.0 | 0.0 | 13761174.0 | 27173.0 | 23519.0 | 24311.0 | 0.0 | 13836684.0 | 17657.0 | 0.0 | 13871472.0 | 0.0 | 389.0 | 0.0 | 91791.0 | 364.0 | 338.0 | 339.0 | 0.0 | 92601.0 | 273.0 | 0.0 | 93002.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | 10.0 | 21.0 | 9.0 | 8.0 | 0.0 | 0.0 | 1.0 | 6.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6739602.0 | 9861746.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 69715 | 14086688 | Hate To Say I Told You So | 3927853 | Hate To Say I Told You So | 2001-04-03 | The Hives | SE | Sweden | 462884.0 | Rock | 1 | 3123.0 | 0.0 | 0.0 | 11.0 | 121.0 | 579.0 | 14825705.0 | 120710.0 | 0.0 | -6.0 | -38.0 | 771.0 | 906623.0 | 8734.0 | 9256760.0 | 5.0 | 0.0 | 962.0 | 975214.0 | 9351.0 | 9009180.0 | 2.0 | 0.0 | 817.0 | Rock | 0.0 | 230217.0 | 0.0 | 14142983.0 | 359384.0 | 323338.0 | 344475.0 | 272743.0 | 289405.0 | 353036.0 | 302061.0 | 320117.0 | 0.0 | 1872.0 | 0.0 | 110500.0 | 6582.0 | 3628.0 | 3598.0 | 2439.0 | 2697.0 | 3233.0 | 2855.0 | 3263.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2917892.0 | 3238701.0 | 3092815.0 | 2925244.0 | 3214277.0 | 2894682.0 | 2900221.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 5.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 58.0 | 0.0 | 52.0 | 13.0 | 17.0 | 10.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 190.0 | 197.0 | 209.0 | 262.0 | 300.0 | 417.0 | 254.0 | 291.0 | 277.0 | 292.0 | 248.0 | -7117435.0 | 0.0 | -3374427.0 | 0.0 | 13049754.0 | 0.0 | 0.0 | 13173184.0 | -108058617.0 | 0.0 | 13583372.0 | 0.0 | 0.0 | 13713576.0 | -4608684.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -21.0 | 0.0 | 0.0 | 0.0 | 0.0 | -350.0 | -188.0 | 0.0 | 0.0 | -575.0 | 0.0 | 0.0 | 104.0 |
| 70310 | 11082938 | Enquanto Houver Sol | 7368100 | Seleção Essencial - Grandes Sucessos - Titãs | 2010-01-01 | Titãs | BR | Brazil | 462884.0 | Rock | 1 | 368920.0 | 52.0 | 0.0 | 13.0 | 199.0 | 329.0 | 12944400.0 | 59340.0 | 0.0 | -12.0 | 21.0 | 103.0 | 183322.0 | 3635.0 | 2584117.0 | 10.0 | -328.0 | 109.0 | 98696.0 | 1869.0 | 2525092.0 | 3.0 | 727.0 | 219.0 | Rock | 0.0 | 47256.0 | 0.0 | 12857202.0 | 0.0 | 12942931.0 | 0.0 | 13065660.0 | 59080.0 | 32677.0 | 32240.0 | 33779.0 | 0.0 | 730.0 | 0.0 | 57682.0 | 0.0 | 59314.0 | 0.0 | 61797.0 | 1112.0 | 556.0 | 541.0 | 772.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 789847.0 | 829489.0 | 866348.0 | 888280.0 | 806663.0 | 741026.0 | 977403.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 10.0 | 0.0 | 52.0 | 1.0 | 0.0 | 2.0 | 0.0 | 180.0 | 16.0 | 11.0 | 2.0 | 8.0 | 0.0 | 13.0 | 0.0 | 243.0 | 388.0 | 96.0 | 0.0 | 175.0 | 33.0 | 31.0 | 40.0 | 32.0 | 26.0 | 52.0 | 31.0 | 60.0 | 78.0 | 81.0 | 0.0 | 0.0 | -100758577.0 | 0.0 | 0.0 | 12393902.0 | 12674078.0 | 0.0 | 13107535.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -434.0 | 0.0 | -85702.0 | 204.0 | 0.0 | 0.0 | 0.0 |
| 70496 | 14788274 | Solitaire / Unraveling | 934721 | M3 | 1999-03-09 | Mushroomhead | US | United States | 462898.0 | Metal | 1 | 1594572.0 | 1023.0 | 0.0 | 3.0 | 1.0 | 0.0 | 13572320.0 | 62108.0 | 0.0 | 0.0 | 18.0 | 0.0 | 99639.0 | 1185.0 | 330340.0 | 0.0 | 33.0 | 0.0 | 86440.0 | 1078.0 | 338594.0 | 0.0 | 53.0 | 0.0 | Hard Rock | 0.0 | 30699.0 | 0.0 | 13510059.0 | 33938.0 | 28323.0 | 31839.0 | 0.0 | 13426474.0 | 31936.0 | 26068.0 | 28436.0 | 0.0 | 385.0 | 0.0 | 61352.0 | 429.0 | 327.0 | 383.0 | 0.0 | 61098.0 | 387.0 | 319.0 | 372.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 121746.0 | 104798.0 | 118238.0 | 107304.0 | 116458.0 | 110345.0 | 111791.0 | 0.0 | 0.0 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 7.0 | 9.0 | 13.0 | 15.0 | 5.0 | 17.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1182241.0 | 0.0 | 0.0 | 13676777.0 | 0.0 | 0.0 | -183667011.0 | -17301417.0 | -224379382.0 | 6522074.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -897.0 | -8.0 | -63.0 | -819.0 |
| 73512 | 15550603 | The One Who Really Loves You - Single Version | 480890 | 60s Summer Party: The Best Summer Hits from th... | 2013-05-05 | Mary Wells | US | United States | 462949.0 | Motown | 1 | 1812054.0 | 2412.0 | 0.0 | 0.0 | 485.0 | 11.0 | 15800689.0 | 69252.0 | 0.0 | 48.0 | 46.0 | 12.0 | 179029.0 | 1433.0 | 502954.0 | -41.0 | -729.0 | 12.0 | 157758.0 | 1195.0 | 492156.0 | 42.0 | 1290.0 | 12.0 | Motown | 0.0 | 68971.0 | 0.0 | 15685453.0 | 62589.0 | 52647.0 | 62489.0 | 65910.0 | 50630.0 | 60579.0 | 48655.0 | 48524.0 | 0.0 | 383.0 | 0.0 | 68485.0 | 454.0 | 313.0 | 479.0 | 554.0 | 400.0 | 444.0 | 399.0 | 352.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 161827.0 | 161440.0 | 172949.0 | 168565.0 | 168645.0 | 158800.0 | 164711.0 | 0.0 | 0.0 | 0.0 | 13.0 | 35.0 | 0.0 | 0.0 | 0.0 | 5.0 | 0.0 | 48.0 | 1.0 | 0.0 | 67.0 | 51.0 | 16.0 | 30.0 | 0.0 | 0.0 | 2.0 | 0.0 | 737.0 | 536.0 | 17.0 | 0.0 | 3.0 | 5.0 | 4.0 | 3.0 | 5.0 | 4.0 | 6.0 | 2.0 | 6.0 | 2.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -22385751.0 | 0.0 | 0.0 | 8790317.0 | 14775876.0 | 0.0 | 0.0 | 0.0 | -4439198.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 551.0 | 0.0 | 0.0 | 0.0 | 309.0 | 0.0 | 660.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 73647 | 13419840 | No MĂĄs Llorar | 997153 | Hasta la RaĂz (EdiciĂłn Especial) | 2015-11-13 | Natalia Lafourcade | MX | Mexico | 462951.0 | Latin | 1 | 127003.0 | 47.0 | 0.0 | 43.0 | 0.0 | 0.0 | 12787944.0 | 27824.0 | 0.0 | -1.0 | 0.0 | 0.0 | 72953.0 | 572.0 | 0.0 | 0.0 | 0.0 | 0.0 | 96890.0 | 533.0 | 0.0 | 0.0 | 3.0 | 0.0 | Latin | 0.0 | 24555.0 | 0.0 | 12738131.0 | 0.0 | 12777399.0 | 0.0 | 12814535.0 | 25397.0 | 26036.0 | 36811.0 | 34043.0 | 0.0 | 174.0 | 0.0 | 27537.0 | 0.0 | 27746.0 | 0.0 | 28052.0 | 184.0 | 157.0 | 196.0 | 180.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1102842.0 | 9216977.0 | 0.0 | -14058746.0 | 5226882.0 | -47400902.0 | 11952547.0 | 12196232.0 | 0.0 | 0.0 | -62656459.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 75213 | 15478178 | O LeĂŁozinho | 853189 | Brazil Classics 1: Beleza Tropical | 2000-03-27 | Caetano Veloso | BR | Brazil | 462959.0 | Latin Rock | 1 | 1161800.0 | 1068.0 | 0.0 | 10.0 | 2.0 | 0.0 | 13858875.0 | 135758.0 | 0.0 | 16.0 | -3.0 | 0.0 | 291052.0 | 5643.0 | 0.0 | -2.0 | -120.0 | 0.0 | 269725.0 | 5004.0 | 0.0 | 2.0 | 119.0 | 0.0 | Jazz | 0.0 | 0.0 | 25773.0 | 13642232.0 | 108762.0 | 107881.0 | 99583.0 | 0.0 | 14054125.0 | 92764.0 | 82049.0 | 94912.0 | 0.0 | 0.0 | 422.0 | 131760.0 | 2048.0 | 1950.0 | 1940.0 | 0.0 | 139693.0 | 1764.0 | 1586.0 | 1654.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 26.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 122.0 | 0.0 | 117.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 12465606.0 | 0.0 | 0.0 | 0.0 | 12881149.0 | 0.0 | 0.0 | -170246907.0 | 0.0 | 0.0 | 0.0 | 11962276.0 | -9482039.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1804.0 | -3559.0 | 0.0 | -17360.0 | 0.0 | 13.0 | 54.0 |
| 76719 | 31303716 | Close To You | 6715057 | Close To You | 2020-09-11 | None | None | None | NaN | None | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 46630.0 | 0.0 | 0.0 | 0.0 | None | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 30840.0 | 27779.0 | 20467.0 | 16770.0 | 18217.0 | 13392.0 | 15021.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 76800 | 13712471 | Roam | 600916 | Theia | 2017-06-30 | Theia | NZ | New Zealand | 462882.0 | Pop | 1 | 0.0 | 0.0 | 0.0 | 5.0 | 0.0 | 14.0 | 0.0 | 0.0 | 0.0 | -4.0 | 0.0 | 1.0 | 0.0 | 0.0 | 56819.0 | -7.0 | 0.0 | 0.0 | 0.0 | 0.0 | 54612.0 | 4.0 | 0.0 | 0.0 | Pop | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 20100.0 | 20343.0 | 18692.0 | 17784.0 | 19433.0 | 16632.0 | 18547.0 | 0.0 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 76868 | 15394449 | Ins and Outs | 3932971 | Ins and Outs | 2017-08-25 | Sofia Carson | US | United States | 462882.0 | Pop | 1 | 2555.0 | 22.0 | 0.0 | 42.0 | 0.0 | 0.0 | 15778681.0 | 321034.0 | 0.0 | -40.0 | 0.0 | 0.0 | 153394.0 | 1896.0 | 0.0 | -2.0 | 11.0 | 0.0 | 142573.0 | 1585.0 | 0.0 | 0.0 | 26.0 | 0.0 | Pop | 0.0 | 76873.0 | 0.0 | 15653226.0 | 69960.0 | 55495.0 | 56780.0 | 52290.0 | 44324.0 | 52276.0 | 0.0 | 16051781.0 | 0.0 | 856.0 | 0.0 | 319333.0 | 914.0 | 787.0 | 722.0 | 615.0 | 559.0 | 624.0 | 0.0 | 323674.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 42.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 14.0 | 0.0 | 4.0 | 6.0 | 1.0 | 22.0 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 14388218.0 | 0.0 | 14980526.0 | 0.0 | 0.0 | 0.0 | 15342181.0 | 0.0 | -9507408.0 | 15580945.0 | 1206587.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 79011 | 11088595 | Setevidas | 57243 | SETEVIDAS | 2014-06-03 | Pitty | BR | Brazil | 462884.0 | Rock | 1 | 352124.0 | 3619.0 | 0.0 | 43.0 | 0.0 | 8.0 | 14255573.0 | 164901.0 | 0.0 | 0.0 | 261.0 | 8.0 | 163430.0 | 2750.0 | 0.0 | 0.0 | -194.0 | 8.0 | 165026.0 | 2884.0 | 0.0 | 0.0 | 229.0 | 8.0 | Rock | 0.0 | 0.0 | 0.0 | 14143085.0 | 0.0 | 14251446.0 | 61614.0 | 46466.0 | 55350.0 | 60270.0 | 51554.0 | 53202.0 | 0.0 | 0.0 | 0.0 | 163088.0 | 0.0 | 164849.0 | 957.0 | 791.0 | 1002.0 | 1134.0 | 905.0 | 845.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 67.0 | 206.0 | 0.0 | 285.0 | 0.0 | 0.0 | 77.0 | 229.0 | 0.0 | 2.0 | 4.0 | 2.0 | 4.0 | 2.0 | 2.0 | 3.0 | 3.0 | 4.0 | 1.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -27754371.0 | -744529574.0 | 0.0 | 13872542.0 | 13660983.0 | 0.0 | 0.0 | 0.0 | 0.0 | -124735674.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 | 0.0 | -3241.0 |
| 79866 | 57508396 | Close To You | 14056044 | Close To You - Single | 2021-08-18 | None | None | None | NaN | None | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | None | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 80185 | 11096862 | Sou O Cara Pra VocĂȘ | 554864 | Ousadia & Alegria | 2012-07-10 | Thiaguinho | BR | Brazil | 462883.0 | Hip-Hop/Rap | 1 | 4535513.0 | 288.0 | 0.0 | 54.0 | 0.0 | 4.0 | 14204632.0 | 130362.0 | 0.0 | -3.0 | 0.0 | 11.0 | 596081.0 | 8295.0 | 0.0 | -51.0 | -52.0 | 10.0 | 544149.0 | 8085.0 | 0.0 | 54.0 | 75.0 | 5.0 | Hip-Hop/Rap | 0.0 | 0.0 | 13474.0 | 9229.0 | 10151.0 | 14185252.0 | 0.0 | 14547638.0 | 215331.0 | 0.0 | 15100726.0 | 180853.0 | 0.0 | 0.0 | 98.0 | 80.0 | 95.0 | 130187.0 | 0.0 | 135282.0 | 3054.0 | 0.0 | 143621.0 | 2613.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 50.0 | 0.0 | 52.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 53.0 | 0.0 | 57.0 | 4.0 | 14.0 | 0.0 | 1.0 | 2.0 | 3.0 | 2.0 | 6.0 | 0.0 | 8.0 | 2.0 | 0.0 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 16512551.0 | 0.0 | 16759871.0 | 0.0 | 14203451.0 | 0.0 | 0.0 | 4275233.0 | 0.0 | -212856516.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 80861 | 17848362 | Dengo Nego | 3099867 | Dengo Nego | 2017-12-08 | Mumuzinho | BR | Brazil | 462882.0 | Pop | 1 | 2207048.0 | 14989.0 | 0.0 | 48.0 | 0.0 | 13.0 | 15391111.0 | 87458.0 | 0.0 | -2.0 | 0.0 | 7.0 | 222173.0 | 1640.0 | 0.0 | -46.0 | -23.0 | 14.0 | 181044.0 | 1188.0 | 0.0 | 5.0 | 59.0 | 8.0 | Hip-Hop/Rap | 0.0 | 0.0 | 25153.0 | 0.0 | 16653903.0 | 81338.0 | 0.0 | 19922.0 | 15493334.0 | 56906.0 | 65906.0 | 58232.0 | 0.0 | 0.0 | 258.0 | 0.0 | 97215.0 | 534.0 | 0.0 | 187.0 | 87843.0 | 346.0 | 469.0 | 373.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 48.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | 10.0 | 0.0 | 0.0 | 2.0 | 4.0 | 3.0 | 52.0 | 0.0 | 6.0 | 2.0 | 3.0 | 3.0 | 1.0 | 6.0 | 4.0 | 4.0 | 3.0 | 1.0 | 4.0 | 0.0 | 0.0 | 15604134.0 | -6639476.0 | 0.0 | 14516767.0 | 0.0 | -768616.0 | 15381481.0 | 654452.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 82837 | 11112052 | Um Beijo | 699179 | Sertanejo Pop Festival 2011 - Ao Vivo | 2011-05-20 | Luan Santana | BR | Brazil | 462877.0 | Sertanejo | 1 | 6233261.0 | 16.0 | 0.0 | 38.0 | 0.0 | 32.0 | 15159540.0 | 196628.0 | 0.0 | 0.0 | 0.0 | 15.0 | 1731082.0 | 12315.0 | 0.0 | -21.0 | 0.0 | 16.0 | 1549557.0 | 10690.0 | 0.0 | 25.0 | 0.0 | 14.0 | Pop | 0.0 | 0.0 | 905.0 | 14011955.0 | 626552.0 | 521033.0 | 526676.0 | 638627.0 | 565779.0 | 600160.0 | 532961.0 | 416436.0 | 0.0 | 0.0 | 9.0 | 188003.0 | 4679.0 | 3946.0 | 3984.0 | 4553.0 | 3778.0 | 4164.0 | 3443.0 | 3083.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 21.0 | 0.0 | 20.0 | 0.0 | 0.0 | 18.0 | 0.0 | 23.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 10.0 | 11.0 | 3.0 | 5.0 | 7.0 | 8.0 | 3.0 | 5.0 | 3.0 | 7.0 | 4.0 | 0.0 | -912845.0 | 0.0 | -44663037.0 | 0.0 | 14878671.0 | -14986812.0 | -11848951.0 | 0.0 | 6122853.0 | 985684.0 | 0.0 | -9341812.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 83082 | 24234291 | Acid Rain | 4559107 | Acid Rap | 2013-04-30 | Chance the Rapper | US | United States | 462883.0 | Hip-Hop/Rap | 1 | 365584.0 | 444.0 | 1561766.0 | 2.0 | 20.0 | 12.0 | 13724640.0 | 68072.0 | 0.0 | -1.0 | 44.0 | 13.0 | 55360.0 | 491.0 | 0.0 | -2.0 | 0.0 | 15.0 | 55881.0 | 504.0 | 1714717.0 | 3.0 | 0.0 | 13.0 | Hip-Hop/Rap | 0.0 | 24923.0 | 0.0 | 13682286.0 | 0.0 | 13699711.0 | 19844.0 | 16363.0 | 19153.0 | 20665.0 | 17319.0 | 17897.0 | 0.0 | 202.0 | 0.0 | 67720.0 | 0.0 | 67762.0 | 175.0 | 153.0 | 163.0 | 165.0 | 164.0 | 175.0 | 0.0 | 500022.0 | 544816.0 | 521518.0 | 531910.0 | 0.0 | 0.0 | 564234.0 | 354786.0 | 657571.0 | 529173.0 | 527973.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 16.0 | 14.0 | 22.0 | 8.0 | 18.0 | 7.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | 3.0 | 4.0 | 5.0 | 4.0 | 5.0 | 5.0 | 5.0 | 3.0 | 5.0 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | -44146718.0 | 2072124.0 | 0.0 | 0.0 | 0.0 | 12598941.0 | 0.0 | 13859112.0 | 6892541.0 | 0.0 | -274270734.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1161.0 | 207.0 | -4599.0 |
| 89246 | 15467451 | Closer/Wrap Me In Your Arms | 4008185 | As We Worship Live | 2009-02-03 | William McDowell | US | United States | 462934.0 | Gospel | 1 | 376538.0 | 37.0 | 0.0 | 41.0 | 0.0 | 0.0 | 12115134.0 | 54615.0 | 0.0 | -1.0 | 0.0 | 0.0 | 269193.0 | 1832.0 | 0.0 | -40.0 | 0.0 | 1.0 | 267619.0 | 1883.0 | 0.0 | 0.0 | 0.0 | 0.0 | Christian | 0.0 | 0.0 | 1379.0 | 11969768.0 | 0.0 | 12112719.0 | 0.0 | 12261430.0 | 118146.0 | 76282.0 | 99450.0 | 91887.0 | 0.0 | 0.0 | 14.0 | 53509.0 | 0.0 | 54586.0 | 0.0 | 55624.0 | 771.0 | 603.0 | 692.0 | 588.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 40648.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6923551.0 | -70627765.0 | -4866416.0 | 0.0 | 0.0 | 0.0 | 10367742.0 | 0.0 | 0.0 | 12151509.0 | 0.0 | 4095839.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 89354 | 15812336 | Bark at the Moon | 1653993 | Halloween Classics: Hellbent For Halloween | 2007-10-09 | Ozzy Osbourne | US | United States | 462898.0 | Metal | 1 | 2147.0 | 0.0 | 0.0 | 66.0 | 0.0 | 611.0 | 14537662.0 | 134145.0 | 0.0 | 0.0 | 0.0 | 701.0 | 1475489.0 | 12156.0 | 4322531.0 | -2.0 | 0.0 | 563.0 | 1657454.0 | 13688.0 | 4646285.0 | 2.0 | 0.0 | 679.0 | Hard Rock | 0.0 | 0.0 | 0.0 | 13567534.0 | 493868.0 | 476260.0 | 0.0 | 2082.0 | 15691964.0 | 0.0 | 17102659.0 | 488388.0 | 0.0 | 0.0 | 0.0 | 125504.0 | 4583.0 | 4058.0 | 0.0 | 29.0 | 144030.0 | 0.0 | 154965.0 | 4015.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1379989.0 | 1393373.0 | 1517772.0 | 1411386.0 | 1734167.0 | 1605952.0 | 1306166.0 | 0.0 | 0.0 | 53.0 | 0.0 | 52.0 | 1.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 194.0 | 228.0 | 229.0 | 243.0 | 229.0 | 192.0 | 186.0 | 185.0 | 294.0 | 161.0 | 224.0 | 0.0 | 0.0 | 0.0 | -41805025.0 | 11118424.0 | 0.0 | 0.0 | -1632569.0 | 7577255.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1329070.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 93852 | 22475459 | Close To You | 3842093 | Close To You | 2019-02-22 | Alice Ivy | AU | Australia | 462882.0 | Pop | 1 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 7.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0.0 | 8.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 10.0 | Dance | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 5.0 | 1.0 | 3.0 | 4.0 | 1.0 | 1.0 | 1.0 | 6.0 | 1.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 97981 | 29441531 | Game Over | 6044423 | Game Over | 2020-05-15 | Jhay Cortez | PR | Puerto Rico | 462958.0 | Latin Hip-Hop/Rap | 1 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 12.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 26.0 | 0.0 | Latin | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 12.0 | 4.0 | 4.0 | 5.0 | 3.0 | 12.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 98205 | 68290632 | Me Gusta | 17519504 | Me Gusta | 2021-12-10 | ElArturo | MX | Mexico | 462958.0 | Latin Hip-Hop/Rap | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | Latin | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 100017 | 11653362 | Schmetterling | 8144601 | Electro Ghetto (Re-Release) | 2004-01-01 | Bushido | DE | Germany | 462883.0 | Hip-Hop/Rap | 1 | 2274154.0 | 16773.0 | 0.0 | 46.0 | 33.0 | 1.0 | 15367916.0 | 123404.0 | 0.0 | 3.0 | 231.0 | 1.0 | 399611.0 | 2968.0 | 0.0 | -49.0 | 142.0 | 0.0 | 348888.0 | 2529.0 | 0.0 | 54.0 | 234.0 | 0.0 | Hip-Hop/Rap | 0.0 | 151484.0 | 0.0 | 15140006.0 | 133172.0 | 94738.0 | 135428.0 | 150459.0 | 113724.0 | 123231.0 | 105327.0 | 120330.0 | 0.0 | 888.0 | 0.0 | 121632.0 | 993.0 | 779.0 | 1082.0 | 1015.0 | 871.0 | 950.0 | 784.0 | 795.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 51.0 | 3.0 | 0.0 | 62.0 | 0.0 | 53.0 | 99.0 | 79.0 | 35.0 | 69.0 | 38.0 | 81.0 | 56.0 | 97.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3980417.0 | -5182517.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 12272715.0 | 11530361.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 920.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 14.0 | 0.0 | -242.0 | 0.0 |
df_youtube_c1 = one.COUNTRY_NAME.value_counts()
df_youtube_c1 = pd.DataFrame(data=df_youtube_c1)
df_youtube_c1.columns = ['count']
df_youtube_c1.plot.bar()
<AxesSubplot:>
df_youtube_c1_genre = one.ARTIST_GENRE.value_counts()
df_youtube_c1_genre = pd.DataFrame(data=df_youtube_c1_genre)
df_youtube_c1_genre.columns = ['count']
df_youtube_c1_genre.plot.bar()
<AxesSubplot:>
### Investigate cluster 2
df_2 = df_no_zero_youtube.query('cluster == 2')
list_2 = df_2.index.tolist()
two = df.query("TRACK_NAME in @list_2")
two
| CM_TRACK | TRACK_NAME | CM_ALBUM | ALBUM_NAME | RELEASE_DATE | ARTIST_NAME | ARTIST_COUNTRY_CODE2 | COUNTRY_NAME | GENRE_ID | ARTIST_GENRE | DUPE | Q1_YOUTUBE_VIEWS_GROWTH | Q1_YOUTUBE_LIKES_GROWTH | Q1_SPOTIFY_PLAYS_GROWTH | Q1_SPOTIFY_POPULARITY_GROWTH | Q1_TIKTOK_POSTS_GROWTH | Q1_AIRPLAY_STREAMS_GROWTH | Q2_YOUTUBE_VIEWS_GROWTH | Q2_YOUTUBE_LIKES_GROWTH | Q2_SPOTIFY_PLAYS_GROWTH | Q2_SPOTIFY_POPULARITY_GROWTH | Q2_TIKTOK_POSTS_GROWTH | Q2_AIRPLAY_STREAMS_GROWTH | Q3_YOUTUBE_VIEWS_GROWTH | Q3_YOUTUBE_LIKES_GROWTH | Q3_SPOTIFY_PLAYS_GROWTH | Q3_SPOTIFY_POPULARITY_GROWTH | Q3_TIKTOK_POSTS_GROWTH | Q3_AIRPLAY_STREAMS_GROWTH | Q4_YOUTUBE_VIEWS_GROWTH | Q4_YOUTUBE_LIKES_GROWTH | Q4_SPOTIFY_PLAYS_GROWTH | Q4_SPOTIFY_POPULARITY_GROWTH | Q4_TIKTOK_POSTS_GROWTH | Q4_AIRPLAY_STREAMS_GROWTH | GENRE | M1_YOUTUBE_VIEWS_GROWTH | M2_YOUTUBE_VIEWS_GROWTH | M3_YOUTUBE_VIEWS_GROWTH | M4_YOUTUBE_VIEWS_GROWTH | M5_YOUTUBE_VIEWS_GROWTH | M6_YOUTUBE_VIEWS_GROWTH | M7_YOUTUBE_VIEWS_GROWTH | M8_YOUTUBE_VIEWS_GROWTH | M9_YOUTUBE_VIEWS_GROWTH | M10_YOUTUBE_VIEWS_GROWTH | M11_YOUTUBE_VIEWS_GROWTH | M12_YOUTUBE_VIEWS_GROWTH | M1_YOUTUBE_LIKES_GROWTH | M2_YOUTUBE_LIKES_GROWTH | M3_YOUTUBE_LIKES_GROWTH | M4_YOUTUBE_LIKES_GROWTH | M5_YOUTUBE_LIKES_GROWTH | M6_YOUTUBE_LIKES_GROWTH | M7_YOUTUBE_LIKES_GROWTH | M8_YOUTUBE_LIKES_GROWTH | M9_YOUTUBE_LIKES_GROWTH | M10_YOUTUBE_LIKES_GROWTH | M11_YOUTUBE_LIKES_GROWTH | M12_YOUTUBE_LIKES_GROWTH | M1_SPOTIFY_PLAYS_GROWTH | M2_SPOTIFY_PLAYS_GROWTH | M3_SPOTIFY_PLAYS_GROWTH | M4_SPOTIFY_PLAYS_GROWTH | M5_SPOTIFY_PLAYS_GROWTH | M6_SPOTIFY_PLAYS_GROWTH | M7_SPOTIFY_PLAYS_GROWTH | M8_SPOTIFY_PLAYS_GROWTH | M9_SPOTIFY_PLAYS_GROWTH | M10_SPOTIFY_PLAYS_GROWTH | M11_SPOTIFY_PLAYS_GROWTH | M12_SPOTIFY_PLAYS_GROWTH | M1_SPOTIFY_POPULARITY_GROWTH | M2_SPOTIFY_POPULARITY_GROWTH | M3_SPOTIFY_POPULARITY_GROWTH | M4_SPOTIFY_POPULARITY_GROWTH | M5_SPOTIFY_POPULARITY_GROWTH | M6_SPOTIFY_POPULARITY_GROWTH | M7_SPOTIFY_POPULARITY_GROWTH | M8_SPOTIFY_POPULARITY_GROWTH | M9_SPOTIFY_POPULARITY_GROWTH | M10_SPOTIFY_POPULARITY_GROWTH | M11_SPOTIFY_POPULARITY_GROWTH | M12_SPOTIFY_POPULARITY_GROWTH | M1_TIKTOK_POSTS_GROWTH | M2_TIKTOK_POSTS_GROWTH | M3_TIKTOK_POSTS_GROWTH | M4_TIKTOK_POSTS_GROWTH | M5_TIKTOK_POSTS_GROWTH | M6_TIKTOK_POSTS_GROWTH | M7_TIKTOK_POSTS_GROWTH | M8_TIKTOK_POSTS_GROWTH | M9_TIKTOK_POSTS_GROWTH | M10_TIKTOK_POSTS_GROWTH | M11_TIKTOK_POSTS_GROWTH | M12_TIKTOK_POSTS_GROWTH | M1_AIRPLAY_STREAMS_GROWTH | M2_AIRPLAY_STREAMS_GROWTH | M3_AIRPLAY_STREAMS_GROWTH | M4_AIRPLAY_STREAMS_GROWTH | M5_AIRPLAY_STREAMS_GROWTH | M6_AIRPLAY_STREAMS_GROWTH | M7_AIRPLAY_STREAMS_GROWTH | M8_AIRPLAY_STREAMS_GROWTH | M9_AIRPLAY_STREAMS_GROWTH | M10_AIRPLAY_STREAMS_GROWTH | M11_AIRPLAY_STREAMS_GROWTH | M12_AIRPLAY_STREAMS_GROWTH | WK1_YT_VIEWS_GROWTH | WK2_YT_VIEWS_GROWTH | WK3_YT_VIEWS_GROWTH | WK4_YT_VIEWS_GROWTH | WK5_YT_VIEWS_GROWTH | WK6_YT_VIEWS_GROWTH | WK7_YT_VIEWS_GROWTH | WK8_YT_VIEWS_GROWTH | WK9_YT_VIEWS_GROWTH | WK10_YT_VIEWS_GROWTH | WK11_YT_VIEWS_GROWTH | WK12_YT_VIEWS_GROWTH | WK13_YT_VIEWS_GROWTH | WK14_YT_VIEWS_GROWTH | WK15_YT_VIEWS_GROWTH | WK1_SPOTIFY_PLAYS_GROWTH | WK2_SPOTIFY_PLAYS_GROWTH | WK3_SPOTIFY_PLAYS_GROWTH | WK4_SPOTIFY_PLAYS_GROWTH | WK5_SPOTIFY_PLAYS_GROWTH | WK6_SPOTIFY_PLAYS_GROWTH | WK7_SPOTIFY_PLAYS_GROWTH | WK8_SPOTIFY_PLAYS_GROWTH | WK9_SPOTIFY_PLAYS_GROWTH | WK10_SPOTIFY_PLAYS_GROWTH | WK11_SPOTIFY_PLAYS_GROWTH | WK12_SPOTIFY_PLAYS_GROWTH | WK13_SPOTIFY_PLAYS_GROWTH | WK14_SPOTIFY_PLAYS_GROWTH | WK15_SPOTIFY_PLAYS_GROWTH | WK1_TIKTOK_POSTS_GROWTH | WK2_TIKTOK_POSTS_GROWTH | WK3_TIKTOK_POSTS_GROWTH | WK4_TIKTOK_POSTS_GROWTH | WK5_TIKTOK_POSTS_GROWTH | WK6_TIKTOK_POSTS_GROWTH | WK7_TIKTOK_POSTS_GROWTH | WK8_TIKTOK_POSTS_GROWTH | WK9_TIKTOK_POSTS_GROWTH | WK10_TIKTOK_POSTS_GROWTH | WK11_TIKTOK_POSTS_GROWTH | WK12_TIKTOK_POSTS_GROWTH | WK13_TIKTOK_POSTS_GROWTH | WK14_TIKTOK_POSTS_GROWTH | WK15_TIKTOK_POSTS_GROWTH | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 4414 | 14794732 | Boom and Bend Over | 1529681 | Boom and Bend Over - Single | 2014-08-12 | J Capri | AU | Australia | 462882.0 | Pop | 1 | 7533526.0 | 34821.0 | 0.0 | 24.0 | 0.0 | 0.0 | 14738.0 | 213.0 | 0.0 | 1.0 | 0.0 | 0.0 | -6744010.0 | -34892.0 | 0.0 | -1.0 | 0.0 | 0.0 | 5635.0 | 63.0 | 0.0 | 3.0 | -1.0 | 0.0 | Dancehall | 0.0 | 3455.0 | 3270.0 | 0.0 | 6745875.0 | 5041.0 | 5075.0 | 5629.0 | 0.0 | 6767342.0 | 6798.0 | 0.0 | 0.0 | 37.0 | 17.0 | 0.0 | 34893.0 | 76.0 | 66.0 | 91.0 | 0.0 | 35237.0 | 122.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 17.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -5844278.0 | 0.0 | 5205386.0 | 0.0 | -217547084.0 | 7525707.0 | 0.0 | -25413594.0 | 7535532.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 10384 | 15279844 | You and I | 354824 | White Noise (Deluxe Version) | 2016-04-22 | PVRIS | US | United States | 462882.0 | Pop | 1 | 7067833.0 | 102232.0 | 0.0 | 3.0 | 0.0 | 6.0 | 99661.0 | 1197.0 | 0.0 | 15.0 | 0.0 | 7.0 | -5643211.0 | -78407.0 | 1427200.0 | -1.0 | 0.0 | 15.0 | -718512.0 | -7501.0 | 1428553.0 | 2.0 | 0.0 | 2.0 | Alternative | 0.0 | 0.0 | 7048241.0 | 0.0 | 5187.0 | 5662301.0 | 0.0 | 7239774.0 | 0.0 | 4697.0 | 0.0 | 780227.0 | 0.0 | 0.0 | 101856.0 | 0.0 | 61.0 | 78645.0 | 0.0 | 104986.0 | 0.0 | 68.0 | 0.0 | 17007.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 422156.0 | 450528.0 | 476205.0 | 500467.0 | 476951.0 | 501608.0 | 449994.0 | 0.0 | 0.0 | 1.0 | 0.0 | 16.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 13.0 | 21.0 | 0.0 | 3.0 | 2.0 | 1.0 | 0.0 | 6.0 | 14.0 | 0.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | -6891072.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 753318.0 | 0.0 | 0.0 | 0.0 | 6340873.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 8549.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 10583 | 11113521 | Ainda Lembro | 1323873 | Silva Canta Marisa | 2017-05-05 | Silva | BR | Brazil | 462883.0 | Hip-Hop/Rap | 1 | 8342109.0 | 53278.0 | 0.0 | 51.0 | 0.0 | 1.0 | 482297.0 | 3189.0 | 0.0 | -1.0 | 0.0 | 1.0 | -7975094.0 | -56110.0 | 0.0 | -30.0 | 1.0 | 2.0 | 11437.0 | 105.0 | 0.0 | 32.0 | 0.0 | 3.0 | Hip-Hop/Rap | 0.0 | 106591.0 | 152209.0 | 0.0 | 7854106.0 | 143651.0 | 165039.0 | 191836.0 | 0.0 | 8666540.0 | 171380.0 | 0.0 | 0.0 | 696.0 | 1037.0 | 0.0 | 55246.0 | 1049.0 | 1136.0 | 1071.0 | 0.0 | 60291.0 | 881.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 30.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 1.0 | 0.0 | 2.0 | 0.0 | 1.0 | 0.0 | -14082688.0 | 0.0 | 0.0 | 7640883.0 | 0.0 | 7331141.0 | 0.0 | 0.0 | -934272.0 | 8253498.0 | 0.0 | -2830006.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 17014 | 13296371 | You and I | 1162693 | La dolce vita (50 Chillout) | 2014-02-17 | Delegation | GB | United Kingdom | 462889.0 | R&B/Soul | 1 | 7921.0 | 0.0 | 0.0 | 0.0 | 11.0 | 60.0 | 166.0 | 1.0 | 0.0 | 53.0 | 18.0 | 58.0 | 14219.0 | 241.0 | 853253.0 | -27.0 | -82.0 | 0.0 | -13784.0 | -234.0 | 694556.0 | 27.0 | 0.0 | 0.0 | Funk | 0.0 | 0.0 | 0.0 | 20575.0 | 0.0 | 37.0 | 92.0 | 31.0 | 14096.0 | 0.0 | 20997.0 | 0.0 | 0.0 | 0.0 | 0.0 | 339.0 | 0.0 | 0.0 | 0.0 | 1.0 | 240.0 | 0.0 | 339.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 270038.0 | 283712.0 | 295081.0 | 274460.0 | 233677.0 | 201554.0 | 259325.0 | 0.0 | 0.0 | 0.0 | 1.0 | 52.0 | 0.0 | 0.0 | 0.0 | 0.0 | 27.0 | 0.0 | 1.0 | 0.0 | 0.0 | 8.0 | 9.0 | 7.0 | 2.0 | 0.0 | 86.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 17.0 | 18.0 | 16.0 | 21.0 | 21.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -21617397.0 | 0.0 | -5126512.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -7469.0 | 0.0 | 0.0 | -138.0 | 0.0 | 0.0 |
| 18232 | 13348974 | Lost In The Weekend | 1815545 | PiĂč Che Logico (Live) | 2015-05-26 | Cesare Cremonini | IT | Italy | 462882.0 | Pop | 1 | 5938114.0 | 29354.0 | 0.0 | 44.0 | 0.0 | 48.0 | 74458.0 | 476.0 | 0.0 | 1.0 | 0.0 | 43.0 | -5997715.0 | -29753.0 | 0.0 | -27.0 | 0.0 | 0.0 | 160441.0 | 839.0 | 0.0 | 2.0 | 0.0 | 0.0 | Pop | 0.0 | 24185.0 | 26537.0 | 25679.0 | 25162.0 | 23617.0 | 22156.0 | 25697.0 | 0.0 | 146309.0 | 7619.0 | 6513.0 | 0.0 | 147.0 | 155.0 | 153.0 | 170.0 | 153.0 | 139.0 | 142.0 | 0.0 | 772.0 | 37.0 | 30.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 26.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | 0.0 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 13.0 | 15.0 | 16.0 | 18.0 | 9.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1675509.0 | 0.0 | 0.0 | -17395708.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -7080601.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 24077 | 13459953 | Senza 'e te | 1119458 | Medina | 2001-03-31 | Pino Daniele | IT | Italy | 462900.0 | Blues | 1 | 5865432.0 | 18394.0 | 0.0 | 10.0 | 200.0 | 12.0 | 70463.0 | 532.0 | 0.0 | 0.0 | 186.0 | 13.0 | -5621354.0 | -18714.0 | 0.0 | -11.0 | 0.0 | 13.0 | 47233.0 | 217.0 | 0.0 | 3.0 | 0.0 | 10.0 | Blues | 0.0 | 35654.0 | 25414.0 | 26417.0 | 24437.0 | 19609.0 | 21837.0 | 0.0 | 14230.0 | 5723903.0 | 0.0 | 12796.0 | 0.0 | 231.0 | 164.0 | 201.0 | 198.0 | 133.0 | 178.0 | 0.0 | 78.0 | 19496.0 | 0.0 | 62.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | 0.0 | 89.0 | 86.0 | 60.0 | 63.0 | 63.0 | 38.0 | 61.0 | 0.0 | 0.0 | 41.0 | 0.0 | 0.0 | 3.0 | 4.0 | 4.0 | 5.0 | 4.0 | 4.0 | 5.0 | 4.0 | 4.0 | 2.0 | 4.0 | 0.0 | -41165484.0 | 3783265.0 | 0.0 | 0.0 | 5230626.0 | 0.0 | -177080377.0 | 4922070.0 | 0.0 | 0.0 | -885587.0 | -4125339.0 | 0.0 | 4773367.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 208.0 | 517.0 | 409.0 | 543.0 | 0.0 | 625.0 | 233.0 | 0.0 | 619.0 | 0.0 | 703.0 |
| 25079 | 12983603 | L.E.S Artistes | 1255753 | Santogold | 2008-05-12 | Santigold | US | United States | 462888.0 | Alternative | 1 | 6586272.0 | 30833.0 | 0.0 | 41.0 | 0.0 | 0.0 | 191713.0 | 1929.0 | 0.0 | -1.0 | 0.0 | 0.0 | -6327914.0 | -29439.0 | 0.0 | -40.0 | 0.0 | 8.0 | 74577.0 | 1016.0 | 0.0 | 41.0 | 0.0 | 0.0 | Alternative | 0.0 | 65060.0 | 76518.0 | 62542.0 | 71858.0 | 57313.0 | 61663.0 | 0.0 | 24862.0 | 25584.0 | 25318.0 | 23675.0 | 0.0 | 646.0 | 737.0 | 530.0 | 801.0 | 598.0 | 669.0 | 0.0 | 364.0 | 384.0 | 333.0 | 299.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 40.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 8.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -43604265.0 | 0.0 | 5921978.0 | 0.0 | 4375375.0 | 0.0 | 2220041.0 | 5778092.0 | 6569194.0 | 6598573.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 27624 | 13250157 | Pensiero stupendo | 2045684 | Aristocratica | 1998-11-04 | Patty Pravo | IT | Italy | 462882.0 | Pop | 1 | 9210669.0 | 24685.0 | 0.0 | 8.0 | 64.0 | 68.0 | 143560.0 | 861.0 | 0.0 | -6.0 | 134.0 | 76.0 | -5548820.0 | -11241.0 | 856858.0 | -34.0 | 128.0 | 81.0 | 392954.0 | 1453.0 | 765335.0 | 40.0 | 102.0 | 69.0 | Pop | 0.0 | 50138.0 | 54314.0 | 0.0 | 9282892.0 | 44602.0 | 0.0 | 9453636.0 | 0.0 | 5743419.0 | 48542.0 | 0.0 | 0.0 | 309.0 | 331.0 | 0.0 | 25164.0 | 276.0 | 0.0 | 26160.0 | 0.0 | 12357.0 | 265.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 289318.0 | 283082.0 | 308019.0 | 265757.0 | 264403.0 | 241695.0 | 259237.0 | 0.0 | 0.0 | 8.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 40.0 | 0.0 | 0.0 | 0.0 | 35.0 | 27.0 | 41.0 | 59.0 | 34.0 | 0.0 | 0.0 | 666.0 | 0.0 | 839.0 | 30.0 | 0.0 | 24.0 | 23.0 | 22.0 | 27.0 | 27.0 | 23.0 | 26.0 | 32.0 | 23.0 | 20.0 | 26.0 | 0.0 | 0.0 | -66649373.0 | -31079235.0 | 0.0 | 0.0 | -237527590.0 | 0.0 | 0.0 | 0.0 | 8990083.0 | 0.0 | 0.0 | -58941.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -9641.0 | -62830.0 | 0.0 | 454.0 | 0.0 | 349.0 | 0.0 | 507.0 | 502.0 |
| 27873 | 11101567 | Mesmo Que Seja Eu | 5769961 | Anos 80 As Melhores | 2020-03-06 | Marina Lima | BR | Brazil | 462885.0 | Dance | 1 | 0.0 | 0.0 | 0.0 | 12.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 38.0 | 1.0 | 2.0 | 0.0 | 0.0 | 475532.0 | -50.0 | 0.0 | 13.0 | 0.0 | 0.0 | 507035.0 | 51.0 | 0.0 | 13.0 | Dance | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 156945.0 | 152187.0 | 156606.0 | 166739.0 | 163883.0 | 156986.0 | 186166.0 | 0.0 | 0.0 | 0.0 | 37.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 8.0 | 42.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 1.0 | 2.0 | 4.0 | 7.0 | 4.0 | 5.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -26199.0 | 0.0 | 0.0 | 0.0 | -7801.0 | -10.0 |
| 34538 | 16552699 | Great Escape | 4806175 | Best Of The Super Cinema 2008-2011/2012-2019 | 2019-09-18 | cinema staff | JP | Japan | 462884.0 | Rock | 1 | 6696797.0 | 71829.0 | 0.0 | 17.0 | 0.0 | 21.0 | 322103.0 | 4005.0 | 0.0 | -1.0 | 0.0 | 19.0 | -6711350.0 | -75721.0 | 1499671.0 | -48.0 | 0.0 | 9.0 | 3616.0 | 52.0 | 1430722.0 | 48.0 | 0.0 | 4.0 | Alternative | 0.0 | 230900.0 | 181993.0 | 123672.0 | 108136.0 | 90295.0 | 87265.0 | 86146.0 | 0.0 | 7037449.0 | 0.0 | 1082.0 | 0.0 | 3238.0 | 2199.0 | 1465.0 | 1392.0 | 1148.0 | 930.0 | 1058.0 | 0.0 | 79639.0 | 0.0 | 12.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 542522.0 | 512379.0 | 518408.0 | 468884.0 | 490613.0 | 440305.0 | 499804.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 43.0 | 0.0 | 47.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 11.0 | 4.0 | 6.0 | 11.0 | 2.0 | 2.0 | 4.0 | 3.0 | 1.0 | 3.0 | 0.0 | 0.0 | 0.0 | 5103444.0 | 0.0 | 0.0 | 0.0 | 0.0 | -35577021.0 | 0.0 | 3312741.0 | 6091444.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 37807 | 12366526 | New Age | 136334 | 538 Hitzone 61 | 2012-01-01 | Marlon Roudette | GB | United Kingdom | 462882.0 | Pop | 1 | 8354058.0 | 22013.0 | 0.0 | 53.0 | 0.0 | 1781.0 | 8144.0 | 91.0 | 0.0 | -26.0 | 0.0 | 1712.0 | -7436278.0 | -9048.0 | 0.0 | 31.0 | 0.0 | 1687.0 | -922090.0 | -13040.0 | 0.0 | 0.0 | 0.0 | 1532.0 | Dance | 0.0 | 2246.0 | 3124.0 | 0.0 | 480.0 | 7438996.0 | 2268.0 | 2539.0 | 0.0 | 401.0 | 7446578.0 | 0.0 | 0.0 | 23.0 | 49.0 | 0.0 | 15.0 | 9146.0 | 30.0 | 33.0 | 0.0 | 11.0 | 9184.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 26.0 | 0.0 | 0.0 | 53.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 575.0 | 596.0 | 565.0 | 551.0 | 596.0 | 583.0 | 565.0 | 539.0 | 506.0 | 540.0 | 486.0 | -6267626.0 | 0.0 | 7590218.0 | 0.0 | 7018167.0 | 0.0 | 7915149.0 | 0.0 | 0.0 | 0.0 | 822803.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 43844 | 17198795 | higher | 5181141 | higher | 2014-03-05 | MAN WITH A MISSION | JP | Japan | 462924.0 | J-Pop | 1 | 6213202.0 | 13232.0 | 0.0 | 1.0 | 0.0 | 2.0 | 85385.0 | 276.0 | 0.0 | 25.0 | 0.0 | 2.0 | -5999854.0 | -13155.0 | 0.0 | -18.0 | 0.0 | 2.0 | 30709.0 | 207.0 | 0.0 | -4.0 | 0.0 | 6.0 | J-Pop | 0.0 | 34238.0 | 33152.0 | 26289.0 | 31729.0 | 27367.0 | 31195.0 | 0.0 | 6250.0 | 8011.0 | 10732.0 | 11966.0 | 0.0 | 90.0 | 206.0 | 74.0 | 103.0 | 99.0 | 120.0 | 0.0 | 41.0 | 52.0 | 74.0 | 81.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 24.0 | 0.0 | 29.0 | 0.0 | 20.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 1.0 | 1.0 | 0.0 | 2.0 | 4.0 | 0.0 | 0.0 | -33600143.0 | 5348575.0 | 443460.0 | 0.0 | -21993830.0 | 0.0 | -3446453.0 | 2563709.0 | 0.0 | 0.0 | -198620711.0 | -2854356.0 | 0.0 | 4871963.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 48753 | 16030439 | Kiss Somebody | 5154971 | Country Heat 2019 | 2018-11-09 | Morgan Evans | US | United States | 462895.0 | Country | 1 | 6495812.0 | 49849.0 | 0.0 | 50.0 | 2.0 | 1028.0 | 68597.0 | 630.0 | 0.0 | -10.0 | 3.0 | 733.0 | -6548343.0 | -50267.0 | 4056718.0 | 7.0 | -6.0 | 647.0 | 71986.0 | 733.0 | 3832215.0 | 1.0 | 1.0 | 811.0 | Country | 0.0 | 23577.0 | 24319.0 | 21369.0 | 24500.0 | 22728.0 | 25398.0 | 22401.0 | 0.0 | 6636771.0 | 17864.0 | 0.0 | 0.0 | 177.0 | 213.0 | 167.0 | 234.0 | 229.0 | 266.0 | 229.0 | 0.0 | 51133.0 | 155.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1540341.0 | 1493847.0 | 1358985.0 | 1203886.0 | 1479576.0 | 1144887.0 | 1207752.0 | 0.0 | 8.0 | 3.0 | 0.0 | 0.0 | 0.0 | 8.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 3.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 324.0 | 290.0 | 250.0 | 242.0 | 241.0 | 213.0 | 195.0 | 239.0 | 222.0 | 256.0 | 333.0 | 0.0 | 5432866.0 | 0.0 | 0.0 | 0.0 | -4036214.0 | 2290655.0 | 0.0 | 0.0 | 4837158.0 | 0.0 | -19144258.0 | 3661698.0 | -124729402.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1230.0 | -110.0 | 54.0 | -22115.0 | 0.0 |
| 49593 | 15910471 | Amazin' | 6409711 | Go Crazy | 2020-07-28 | Jeezy | US | United States | 462883.0 | Hip-Hop/Rap | 1 | 5089649.0 | 55629.0 | 0.0 | 49.0 | 0.0 | 1.0 | 916756.0 | 7503.0 | 0.0 | -1.0 | 0.0 | 0.0 | -5683674.0 | -59033.0 | 0.0 | -48.0 | 0.0 | 0.0 | -223398.0 | -4099.0 | 0.0 | 48.0 | 0.0 | 0.0 | Hip-Hop/Rap | 0.0 | 303623.0 | 364904.0 | 304524.0 | 0.0 | 5683674.0 | 0.0 | 6408982.0 | 0.0 | 7104081.0 | 0.0 | 0.0 | 0.0 | 2946.0 | 3100.0 | 2326.0 | 0.0 | 59033.0 | 0.0 | 65059.0 | 0.0 | 70916.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 36.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 14.0 | 0.0 | 34.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2055348.0 | 0.0 | 2600945.0 | -3245319.0 | 0.0 | -18174300.0 | 0.0 | 718445.0 | 0.0 | 4913205.0 | 3989490.0 | 313214.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 58288 | 15829591 | You and I | 1889104 | I Am | 1979-06-01 | Earth, Wind & Fire | US | United States | 462889.0 | R&B/Soul | 1 | 0.0 | 0.0 | 0.0 | 40.0 | 22.0 | 1.0 | 0.0 | 0.0 | 0.0 | -15.0 | 7.0 | 3.0 | 0.0 | 0.0 | 0.0 | -1.0 | -118.0 | 7.0 | 0.0 | 0.0 | 0.0 | 1.0 | 116.0 | 2.0 | R&B/Soul | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 25.0 | 0.0 | 13.0 | 1.0 | 2.0 | 4.0 | 1.0 | 3.0 | 0.0 | 0.0 | 0.0 | 114.0 | 2.0 | 0.0 | 0.0 | 1.0 | 2.0 | 1.0 | 0.0 | 5.0 | 0.0 | 2.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -357.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 103.0 | -25688.0 | 0.0 | 0.0 | 0.0 | 0.0 | -286.0 | -1278.0 | 109.0 |
| 60643 | 18072028 | You and I | 5145535 | Best of 2018 | 2018-12-07 | ALPHA 9 | RU | Russian Federation | 462927.0 | Trance | 1 | 0.0 | 0.0 | 0.0 | 6.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 27.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -12.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | -21.0 | 1.0 | 0.0 | Electronic | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 27.0 | 1.0 | 0.0 | 0.0 | 23.0 | 0.0 | 0.0 | 23.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 62445 | 61549041 | You and I | 15073143 | This Time I See It | 2021-09-24 | The Franklin Electric | CA | Canada | 462884.0 | Rock | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | Alternative | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 32165.0 | 26392.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 68417 | 11102884 | Mesmo Que Seja Eu | 10986506 | Erasmo 80 | 2021-06-03 | Erasmo Carlos | BR | Brazil | 462882.0 | Pop | 1 | 6597585.0 | 40600.0 | 0.0 | 14.0 | 9.0 | 8.0 | 120532.0 | 1300.0 | 0.0 | 1.0 | 2.0 | 4.0 | -5488327.0 | -36436.0 | 0.0 | -20.0 | -2.0 | 6.0 | 779476.0 | 17760.0 | 0.0 | 2.0 | 46.0 | 5.0 | Pop | 0.0 | 5354525.0 | 51720.0 | 0.0 | 5468357.0 | 42480.0 | 46819.0 | 50196.0 | 0.0 | 5673981.0 | 0.0 | 133398.0 | 0.0 | 35309.0 | 469.0 | 0.0 | 36233.0 | 533.0 | 406.0 | 441.0 | 0.0 | 38212.0 | 0.0 | 1461.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 117505.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 | 2.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 2.0 | 0.0 | 0.0 | 6.0 | 0.0 | 0.0 | 2.0 | 0.0 | 14.0 | 0.0 | 26.0 | 7.0 | 13.0 | 0.0 | 3.0 | 0.0 | 1.0 | 3.0 | 0.0 | 4.0 | 1.0 | 1.0 | 2.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | -1531917.0 | 6191846.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6234417.0 | 0.0 | -4070324.0 | 6111699.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 | -1740.0 |
| 68497 | 13377852 | ććăźăȘăæȘç© | 1026864 | ććăźăȘăæȘç© | 2012-11-27 | EGOIST | JP | Japan | 462885.0 | Dance | 1 | 11722032.0 | 74834.0 | 0.0 | 10.0 | 0.0 | 2.0 | 228082.0 | 2667.0 | 0.0 | 3.0 | 0.0 | 7.0 | -7068277.0 | -75677.0 | 1161895.0 | -2.0 | 78.0 | 5.0 | 61633.0 | 586.0 | 1278571.0 | 5.0 | 32.0 | 7.0 | Dance | 0.0 | 76691.0 | 96933.0 | 77255.0 | 0.0 | 7160910.0 | 0.0 | 22551.0 | 27607.0 | 25656.0 | 15919.0 | 20058.0 | 0.0 | 890.0 | 1011.0 | 814.0 | 0.0 | 76520.0 | 0.0 | 192.0 | 269.0 | 260.0 | 141.0 | 185.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 386501.0 | 383646.0 | 396948.0 | 381301.0 | 441537.0 | 410849.0 | 426185.0 | 0.0 | 0.0 | 5.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 7.0 | 10.0 | 15.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 6.0 | 4.0 | 0.0 | 1.0 | 2.0 | 4.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -6264526.0 | 0.0 | 10212993.0 | 6264029.0 | -49230364.0 | 0.0 | 0.0 | 0.0 | 11456732.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 69016 | 18581755 | Colors of the Heart | 2715599 | ALL TIME BEST -FAN BEST- | 2018-07-18 | UVERworld | JP | Japan | 462883.0 | Hip-Hop/Rap | 1 | 6643673.0 | 86349.0 | 0.0 | 7.0 | 20.0 | 20.0 | 235779.0 | 2744.0 | 0.0 | -2.0 | -1.0 | 17.0 | -6594068.0 | -89053.0 | 0.0 | -26.0 | -175.0 | 10.0 | 1069.0 | 19.0 | 0.0 | 3.0 | 10.0 | 7.0 | Hip-Hop/Rap | 0.0 | 106596.0 | 97588.0 | 77986.0 | 83681.0 | 74112.0 | 81261.0 | 87413.0 | 0.0 | 6938707.0 | 0.0 | 349.0 | 0.0 | 1165.0 | 1015.0 | 886.0 | 1076.0 | 782.0 | 877.0 | 1062.0 | 0.0 | 92919.0 | 0.0 | 11.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 263350.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 22.0 | 2.0 | 0.0 | 9.0 | 0.0 | 8.0 | 11.0 | 3.0 | 0.0 | 4.0 | 12.0 | 15.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | 7.0 | 7.0 | 8.0 | 2.0 | 2.0 | 4.0 | 4.0 | 1.0 | 3.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5576000.0 | 1460731.0 | 4423029.0 | 0.0 | 0.0 | -41590706.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -10934.0 | 0.0 | 53.0 | 0.0 | 57.0 | 0.0 | -11721.0 | 0.0 |
| 70568 | 41575962 | You and I | 9615450 | You and I | 2021-05-14 | Paola Navarrete | EC | Ecuador | 462889.0 | R&B/Soul | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4476.0 | -12.0 | 0.0 | 1.0 | 0.0 | 0.0 | 3144.0 | -1.0 | 0.0 | 0.0 | Hip-Hop/Rap | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5585.0 | 1627.0 | 1527.0 | 1322.0 | 807.0 | 1426.0 | 911.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 75093 | 15729592 | Qué Manera de Quererte | 3912668 | Perdoname...¥Exitos! | 2000-01-01 | Gilberto Santa Rosa | PR | Puerto Rico | 462904.0 | Salsa | 1 | 5279638.0 | 11602.0 | 0.0 | 16.0 | 1.0 | 85.0 | 1393051.0 | 2649.0 | 0.0 | -1.0 | 31.0 | 88.0 | -6175142.0 | -13034.0 | 0.0 | -20.0 | -67.0 | 86.0 | 76719.0 | 368.0 | 0.0 | 7.0 | 116.0 | 48.0 | Holiday | 0.0 | 331906.0 | 394443.0 | 394340.0 | 490118.0 | 508593.0 | 0.0 | 27696.0 | 26466.0 | 28072.0 | 8315549.0 | 0.0 | 0.0 | 588.0 | 864.0 | 767.0 | 947.0 | 935.0 | 0.0 | 137.0 | 141.0 | 140.0 | 17256.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 10.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 6.0 | 0.0 | 0.0 | 0.0 | 5.0 | 17.0 | 9.0 | 0.0 | 78.0 | 0.0 | 5.0 | 102.0 | 9.0 | 0.0 | 28.0 | 33.0 | 29.0 | 29.0 | 30.0 | 34.0 | 27.0 | 25.0 | 21.0 | 18.0 | 9.0 | 0.0 | -4782126.0 | 0.0 | -2947599.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5079376.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 31.0 | 0.0 | -2243.0 | 12.0 | 0.0 | 0.0 |
| 84241 | 13246762 | Senza 'e te | 770019 | Fiorella | 2014-11-20 | Fiorella Mannoia | IT | Italy | 462882.0 | Pop | 1 | 23923.0 | 3.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0.0 | 0.0 | 3465.0 | 27.0 | 0.0 | 2.0 | 0.0 | 0.0 | Pop | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 693.0 | 1806.0 | 883.0 | 1796.0 | 786.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | 16.0 | 7.0 | 10.0 | 10.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -43098215.0 | 0.0 | 0.0 | 0.0 | -4793903.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 87988 | 15555431 | MMMBop | 5835080 | Songs To Wash Your Hands To | 2020-03-27 | Hanson | US | United States | 462882.0 | Pop | 1 | 6127773.0 | 48108.0 | 0.0 | 43.0 | 304.0 | 2683.0 | 41129.0 | 345.0 | 0.0 | 26.0 | 442.0 | 2529.0 | -5883341.0 | -44158.0 | 7485436.0 | -1.0 | -6311.0 | 499.0 | -281804.0 | -4293.0 | 132837844.0 | 3.0 | 6844.0 | 476.0 | Pop | 0.0 | 0.0 | 6107878.0 | 0.0 | 1380.0 | 5270818.0 | 14920.0 | 17449.0 | 0.0 | 5941341.0 | 0.0 | 0.0 | 0.0 | 0.0 | 47874.0 | 0.0 | 2.0 | 45188.0 | 119.0 | 188.0 | 0.0 | 44705.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2351826.0 | 2591363.0 | 2509306.0 | 2384767.0 | 2725217.0 | 126946865.0 | 3165762.0 | 0.0 | 0.0 | 43.0 | 0.0 | 26.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 216.0 | 175.0 | 141.0 | 126.0 | 95.0 | 0.0 | 5.0 | 0.0 | 6836.0 | 14.0 | 0.0 | 806.0 | 906.0 | 910.0 | 944.0 | 675.0 | 93.0 | 207.0 | 199.0 | 209.0 | 132.0 | 135.0 | 0.0 | 0.0 | -127339411.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6024830.0 | 0.0 | 0.0 | 6092398.0 | 0.0 | 6125870.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5338.0 | 0.0 | 3903.0 |
| 88385 | 14507008 | You and I | 1056433 | In My Room | 2016-07-01 | Jacob Collier | GB | United Kingdom | 462882.0 | Pop | 1 | 645090.0 | 10740.0 | 0.0 | 3.0 | 0.0 | 1.0 | 20209.0 | 368.0 | 0.0 | -2.0 | 0.0 | 3.0 | -630278.0 | -11110.0 | 0.0 | 0.0 | 0.0 | 10.0 | 672753.0 | 11997.0 | 0.0 | 0.0 | 0.0 | 2.0 | Jazz | 0.0 | 0.0 | 610069.0 | 0.0 | 623797.0 | 6481.0 | 0.0 | 644378.0 | 0.0 | 658272.0 | 0.0 | 672753.0 | 0.0 | 0.0 | 10740.0 | 0.0 | 10979.0 | 130.0 | 0.0 | 11436.0 | 0.0 | 11727.0 | 0.0 | 11997.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 2.0 | 1.0 | 2.0 | 5.0 | 3.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -51632248.0 | 0.0 | 0.0 | 0.0 | -161245653.0 | 0.0 | 0.0 | 606688.0 | -16812158.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 92962 | 15117634 | Money, Power & Respect (feat. DMX & Lil' Kim) | 5559176 | Hip Hop Klassiekers | 2020-01-03 | DMX | US | United States | 462883.0 | Hip-Hop/Rap | 1 | 5836359.0 | 75510.0 | 0.0 | 56.0 | 10.0 | 139.0 | 1534214.0 | 20374.0 | 0.0 | 2.0 | 143.0 | 360.0 | -7075657.0 | -94912.0 | 1935343.0 | 0.0 | -116.0 | 21.0 | 3893.0 | 45.0 | 1616468.0 | 1.0 | 67.0 | 27.0 | Hip-Hop/Rap | 0.0 | 204350.0 | 246818.0 | 855315.0 | 375498.0 | 303401.0 | 267491.0 | 0.0 | 1510.0 | 8405324.0 | 258663.0 | 0.0 | 0.0 | 2994.0 | 3166.0 | 13789.0 | 3467.0 | 3118.0 | 3042.0 | 0.0 | 23.0 | 110110.0 | 2723.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 518789.0 | 553172.0 | 763828.0 | 618343.0 | 606435.0 | 477898.0 | 532135.0 | 0.0 | 1.0 | 3.0 | 6.0 | 0.0 | 58.0 | 0.0 | 0.0 | 58.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 10.0 | 139.0 | 1.0 | 3.0 | 0.0 | 62.0 | 0.0 | 25.0 | 242.0 | 0.0 | 0.0 | 38.0 | 52.0 | 268.0 | 51.0 | 41.0 | 10.0 | 3.0 | 8.0 | 9.0 | 17.0 | 1.0 | 0.0 | 0.0 | 2913909.0 | 0.0 | 0.0 | 0.0 | 0.0 | -137835.0 | 4975313.0 | 0.0 | -28278.0 | 0.0 | -782268.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -91.0 | -1.0 | 0.0 | 0.0 | 0.0 | -89.0 | 23.0 | -23.0 |
df_youtube_c2_country = two.COUNTRY_NAME.value_counts()
df_youtube_c2_country = pd.DataFrame(data=df_youtube_c2_country)
df_youtube_c2_country.columns = ['count']
df_youtube_c2_country.plot.bar()
<AxesSubplot:>
df_youtube_c2 = two.ARTIST_GENRE.value_counts()
df_youtube_c2 = pd.DataFrame(data=df_youtube_c2)
df_youtube_c2.columns = ['count']
df_youtube_c2.plot.bar()
<AxesSubplot:>
### Investigate cluster 3
df_3 = df_no_zero_youtube.query('cluster == 3')
list_3 = df_3.index.tolist()
three = df.query("TRACK_NAME in @list_3")
three
| CM_TRACK | TRACK_NAME | CM_ALBUM | ALBUM_NAME | RELEASE_DATE | ARTIST_NAME | ARTIST_COUNTRY_CODE2 | COUNTRY_NAME | GENRE_ID | ARTIST_GENRE | DUPE | Q1_YOUTUBE_VIEWS_GROWTH | Q1_YOUTUBE_LIKES_GROWTH | Q1_SPOTIFY_PLAYS_GROWTH | Q1_SPOTIFY_POPULARITY_GROWTH | Q1_TIKTOK_POSTS_GROWTH | Q1_AIRPLAY_STREAMS_GROWTH | Q2_YOUTUBE_VIEWS_GROWTH | Q2_YOUTUBE_LIKES_GROWTH | Q2_SPOTIFY_PLAYS_GROWTH | Q2_SPOTIFY_POPULARITY_GROWTH | Q2_TIKTOK_POSTS_GROWTH | Q2_AIRPLAY_STREAMS_GROWTH | Q3_YOUTUBE_VIEWS_GROWTH | Q3_YOUTUBE_LIKES_GROWTH | Q3_SPOTIFY_PLAYS_GROWTH | Q3_SPOTIFY_POPULARITY_GROWTH | Q3_TIKTOK_POSTS_GROWTH | Q3_AIRPLAY_STREAMS_GROWTH | Q4_YOUTUBE_VIEWS_GROWTH | Q4_YOUTUBE_LIKES_GROWTH | Q4_SPOTIFY_PLAYS_GROWTH | Q4_SPOTIFY_POPULARITY_GROWTH | Q4_TIKTOK_POSTS_GROWTH | Q4_AIRPLAY_STREAMS_GROWTH | GENRE | M1_YOUTUBE_VIEWS_GROWTH | M2_YOUTUBE_VIEWS_GROWTH | M3_YOUTUBE_VIEWS_GROWTH | M4_YOUTUBE_VIEWS_GROWTH | M5_YOUTUBE_VIEWS_GROWTH | M6_YOUTUBE_VIEWS_GROWTH | M7_YOUTUBE_VIEWS_GROWTH | M8_YOUTUBE_VIEWS_GROWTH | M9_YOUTUBE_VIEWS_GROWTH | M10_YOUTUBE_VIEWS_GROWTH | M11_YOUTUBE_VIEWS_GROWTH | M12_YOUTUBE_VIEWS_GROWTH | M1_YOUTUBE_LIKES_GROWTH | M2_YOUTUBE_LIKES_GROWTH | M3_YOUTUBE_LIKES_GROWTH | M4_YOUTUBE_LIKES_GROWTH | M5_YOUTUBE_LIKES_GROWTH | M6_YOUTUBE_LIKES_GROWTH | M7_YOUTUBE_LIKES_GROWTH | M8_YOUTUBE_LIKES_GROWTH | M9_YOUTUBE_LIKES_GROWTH | M10_YOUTUBE_LIKES_GROWTH | M11_YOUTUBE_LIKES_GROWTH | M12_YOUTUBE_LIKES_GROWTH | M1_SPOTIFY_PLAYS_GROWTH | M2_SPOTIFY_PLAYS_GROWTH | M3_SPOTIFY_PLAYS_GROWTH | M4_SPOTIFY_PLAYS_GROWTH | M5_SPOTIFY_PLAYS_GROWTH | M6_SPOTIFY_PLAYS_GROWTH | M7_SPOTIFY_PLAYS_GROWTH | M8_SPOTIFY_PLAYS_GROWTH | M9_SPOTIFY_PLAYS_GROWTH | M10_SPOTIFY_PLAYS_GROWTH | M11_SPOTIFY_PLAYS_GROWTH | M12_SPOTIFY_PLAYS_GROWTH | M1_SPOTIFY_POPULARITY_GROWTH | M2_SPOTIFY_POPULARITY_GROWTH | M3_SPOTIFY_POPULARITY_GROWTH | M4_SPOTIFY_POPULARITY_GROWTH | M5_SPOTIFY_POPULARITY_GROWTH | M6_SPOTIFY_POPULARITY_GROWTH | M7_SPOTIFY_POPULARITY_GROWTH | M8_SPOTIFY_POPULARITY_GROWTH | M9_SPOTIFY_POPULARITY_GROWTH | M10_SPOTIFY_POPULARITY_GROWTH | M11_SPOTIFY_POPULARITY_GROWTH | M12_SPOTIFY_POPULARITY_GROWTH | M1_TIKTOK_POSTS_GROWTH | M2_TIKTOK_POSTS_GROWTH | M3_TIKTOK_POSTS_GROWTH | M4_TIKTOK_POSTS_GROWTH | M5_TIKTOK_POSTS_GROWTH | M6_TIKTOK_POSTS_GROWTH | M7_TIKTOK_POSTS_GROWTH | M8_TIKTOK_POSTS_GROWTH | M9_TIKTOK_POSTS_GROWTH | M10_TIKTOK_POSTS_GROWTH | M11_TIKTOK_POSTS_GROWTH | M12_TIKTOK_POSTS_GROWTH | M1_AIRPLAY_STREAMS_GROWTH | M2_AIRPLAY_STREAMS_GROWTH | M3_AIRPLAY_STREAMS_GROWTH | M4_AIRPLAY_STREAMS_GROWTH | M5_AIRPLAY_STREAMS_GROWTH | M6_AIRPLAY_STREAMS_GROWTH | M7_AIRPLAY_STREAMS_GROWTH | M8_AIRPLAY_STREAMS_GROWTH | M9_AIRPLAY_STREAMS_GROWTH | M10_AIRPLAY_STREAMS_GROWTH | M11_AIRPLAY_STREAMS_GROWTH | M12_AIRPLAY_STREAMS_GROWTH | WK1_YT_VIEWS_GROWTH | WK2_YT_VIEWS_GROWTH | WK3_YT_VIEWS_GROWTH | WK4_YT_VIEWS_GROWTH | WK5_YT_VIEWS_GROWTH | WK6_YT_VIEWS_GROWTH | WK7_YT_VIEWS_GROWTH | WK8_YT_VIEWS_GROWTH | WK9_YT_VIEWS_GROWTH | WK10_YT_VIEWS_GROWTH | WK11_YT_VIEWS_GROWTH | WK12_YT_VIEWS_GROWTH | WK13_YT_VIEWS_GROWTH | WK14_YT_VIEWS_GROWTH | WK15_YT_VIEWS_GROWTH | WK1_SPOTIFY_PLAYS_GROWTH | WK2_SPOTIFY_PLAYS_GROWTH | WK3_SPOTIFY_PLAYS_GROWTH | WK4_SPOTIFY_PLAYS_GROWTH | WK5_SPOTIFY_PLAYS_GROWTH | WK6_SPOTIFY_PLAYS_GROWTH | WK7_SPOTIFY_PLAYS_GROWTH | WK8_SPOTIFY_PLAYS_GROWTH | WK9_SPOTIFY_PLAYS_GROWTH | WK10_SPOTIFY_PLAYS_GROWTH | WK11_SPOTIFY_PLAYS_GROWTH | WK12_SPOTIFY_PLAYS_GROWTH | WK13_SPOTIFY_PLAYS_GROWTH | WK14_SPOTIFY_PLAYS_GROWTH | WK15_SPOTIFY_PLAYS_GROWTH | WK1_TIKTOK_POSTS_GROWTH | WK2_TIKTOK_POSTS_GROWTH | WK3_TIKTOK_POSTS_GROWTH | WK4_TIKTOK_POSTS_GROWTH | WK5_TIKTOK_POSTS_GROWTH | WK6_TIKTOK_POSTS_GROWTH | WK7_TIKTOK_POSTS_GROWTH | WK8_TIKTOK_POSTS_GROWTH | WK9_TIKTOK_POSTS_GROWTH | WK10_TIKTOK_POSTS_GROWTH | WK11_TIKTOK_POSTS_GROWTH | WK12_TIKTOK_POSTS_GROWTH | WK13_TIKTOK_POSTS_GROWTH | WK14_TIKTOK_POSTS_GROWTH | WK15_TIKTOK_POSTS_GROWTH | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 11168 | 12126263 | Raelsan | 96312 | Le chant des sirĂšnes | 2011-09-26 | Orelsan | FR | France | 462883.0 | Hip-Hop/Rap | 1 | 10747972.0 | 56445.0 | 0.0 | 43.0 | 0.0 | 3.0 | 138389.0 | 1283.0 | 0.0 | -1.0 | 0.0 | 2.0 | 133774.0 | 1325.0 | 0.0 | -40.0 | 3.0 | 1.0 | -10238460.0 | -47704.0 | 0.0 | 5.0 | 8.0 | 98.0 | Hip-Hop/Rap | 0.0 | 47377.0 | 53620.0 | 49471.0 | 0.0 | 10141958.0 | 45100.0 | 44021.0 | 44653.0 | 0.0 | 10729038.0 | 0.0 | 0.0 | 355.0 | 458.0 | 452.0 | 0.0 | 44818.0 | 388.0 | 414.0 | 523.0 | 0.0 | 51402.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 43.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | 1.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 1.0 | 45.0 | 35.0 | 18.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -142771.0 | -2499727.0 | 0.0 | 0.0 | 0.0 | 0.0 | 10718853.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 14364 | 13277275 | Bolla Papale Freestyle | 1424676 | MM Vol. 2 | 2016-11-11 | MadMan | US | United States | 462883.0 | Hip-Hop/Rap | 1 | 9620109.0 | 128656.0 | 0.0 | 1.0 | 0.0 | 0.0 | 72302.0 | 870.0 | 0.0 | -1.0 | 0.0 | 0.0 | 77561.0 | 903.0 | 0.0 | 0.0 | 0.0 | 0.0 | -9767146.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | Hip-Hop/Rap | 0.0 | 24358.0 | 25988.0 | 0.0 | 0.0 | 9689603.0 | 25197.0 | 28846.0 | 23518.0 | 25605.0 | 35939.0 | 0.0 | 0.0 | 305.0 | 306.0 | 0.0 | 0.0 | 0.0 | 309.0 | 355.0 | 239.0 | 311.0 | 621.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 270605.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -6005567.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4612259.0 | 0.0 | -61102770.0 | -4694131.0 | 8944102.0 | 0.0 | 0.0 | 8036864.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 15865 | 23101292 | Picky Picky | 14468308 | LOCK END LOL | 2019-05-14 | Weki Meki | KR | South Korea | 462925.0 | K-Pop | 1 | 11027508.0 | 342287.0 | 0.0 | 2.0 | 69.0 | 20.0 | 457296.0 | 9677.0 | 0.0 | -1.0 | 115.0 | 20.0 | 242619.0 | 5580.0 | 824121.0 | -9.0 | -447.0 | 32.0 | -10980520.0 | -356487.0 | 759931.0 | 0.0 | 1.0 | 22.0 | K-Pop | 0.0 | 151477.0 | 190930.0 | 141873.0 | 176627.0 | 138796.0 | 105107.0 | 70583.0 | 66929.0 | 51778.0 | 69728.0 | 0.0 | 0.0 | 3181.0 | 4157.0 | 3115.0 | 4065.0 | 2497.0 | 2083.0 | 1756.0 | 1741.0 | 1261.0 | 2048.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 279609.0 | 280862.0 | 276591.0 | 266668.0 | 250596.0 | 235993.0 | 273342.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 43.0 | 39.0 | 45.0 | 31.0 | 24.0 | 18.0 | 0.0 | 42.0 | 46.0 | 0.0 | 0.0 | 8.0 | 6.0 | 4.0 | 9.0 | 7.0 | 14.0 | 12.0 | 6.0 | 8.0 | 6.0 | 8.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 8304470.0 | 0.0 | 0.0 | 0.0 | 9522444.0 | 0.0 | 10946925.0 | 10789413.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 272.0 | 0.0 | 0.0 | 0.0 |
| 17628 | 15090581 | Left Right Left | 3959753 | Nine Track Mind Deluxe | 2016-11-11 | Charlie Puth | US | United States | 462882.0 | Pop | 1 | 8439283.0 | 48437.0 | 0.0 | 2.0 | 899.0 | 11.0 | 142041.0 | 1057.0 | 0.0 | 0.0 | -1.0 | 12.0 | 128090.0 | 964.0 | 0.0 | -16.0 | 0.0 | 6.0 | -8704585.0 | -50451.0 | 402796.0 | 2.0 | 0.0 | 12.0 | Pop | 0.0 | 44792.0 | 54969.0 | 46586.0 | 0.0 | 8576689.0 | 45345.0 | 43205.0 | 39540.0 | 49789.0 | 41972.0 | 0.0 | 0.0 | 337.0 | 383.0 | 298.0 | 0.0 | 49490.0 | 336.0 | 309.0 | 319.0 | 389.0 | 273.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 79370.0 | 167236.0 | 119536.0 | 116024.0 | 0.0 | 0.0 | 2.0 | 0.0 | 7.0 | 0.0 | 0.0 | 0.0 | 0.0 | 10.0 | 0.0 | 0.0 | 0.0 | 898.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 860.0 | 0.0 | 0.0 | 3.0 | 6.0 | 4.0 | 5.0 | 3.0 | 1.0 | 1.0 | 4.0 | 5.0 | 5.0 | 2.0 | 0.0 | 0.0 | 5249591.0 | 7954391.0 | 0.0 | 0.0 | 0.0 | -484053654.0 | 7894895.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -18297.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -486.0 |
| 31016 | 11646564 | YouÂŽre Not Alone | 135506 | Seven Years | 2005-06-13 | ATB | DE | Germany | 462927.0 | Trance | 1 | 9157383.0 | 35266.0 | 0.0 | 5.0 | 0.0 | 171.0 | 163114.0 | 1354.0 | 0.0 | -1.0 | 0.0 | 179.0 | 121154.0 | 1182.0 | 0.0 | 0.0 | 0.0 | 0.0 | -9435154.0 | -37782.0 | 0.0 | 0.0 | 8.0 | 85.0 | Dance | 0.0 | 64319.0 | 73603.0 | 61121.0 | 0.0 | 9315263.0 | 44860.0 | 40893.0 | 35401.0 | 35537.0 | 39285.0 | 0.0 | 0.0 | 600.0 | 621.0 | 429.0 | 0.0 | 36615.0 | 411.0 | 390.0 | 381.0 | 373.0 | 389.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 9.0 | 0.0 | 55.0 | 47.0 | 54.0 | 76.0 | 49.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 83.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2253022.0 | 2085667.0 | 0.0 | 0.0 | 0.0 | 9081142.0 | 0.0 | 196763.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 41331 | 11084402 | A Viagem | 3102376 | Vidavida | 1994-08-28 | Roupa Nova | BR | Brazil | 462877.0 | Sertanejo | 1 | 13349190.0 | 104266.0 | 0.0 | 32.0 | 1623.0 | 24.0 | 105767.0 | 1133.0 | 0.0 | -18.0 | -1434.0 | 26.0 | 628560.0 | 6970.0 | 0.0 | -3.0 | -130.0 | 26.0 | -11938541.0 | -87346.0 | 0.0 | 3.0 | 150.0 | 41.0 | Pop | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 12067614.0 | 181423.0 | 0.0 | 14026930.0 | 258436.0 | 0.0 | 101310.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 88981.0 | 2021.0 | 0.0 | 112370.0 | 2610.0 | 0.0 | 1188.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 165519.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 25.0 | 0.0 | 154.0 | 1468.0 | 0.0 | 1729.0 | 0.0 | 0.0 | 44.0 | 39.0 | 0.0 | 0.0 | 243.0 | 0.0 | 5.0 | 9.0 | 10.0 | 7.0 | 9.0 | 3.0 | 10.0 | 13.0 | 17.0 | 15.0 | 9.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2298842.0 | -3456791.0 | 0.0 | 0.0 | -1604565.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 134.0 | 1708.0 |
| 44563 | 12588374 | Sing It Back - Boris Dlugosch Mix | 8026903 | My Kitchen Rules | 2012-01-01 | Boris Dlugosch | DE | Germany | 462890.0 | House | 1 | 12150213.0 | 63290.0 | 0.0 | 65.0 | 54.0 | 2578.0 | 0.0 | -60.0 | 0.0 | 0.0 | 168.0 | 2814.0 | 0.0 | -29.0 | 4052861.0 | -2.0 | -539.0 | 284.0 | -11562091.0 | -54835.0 | 4099523.0 | 3.0 | 1019.0 | 165.0 | Dance | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 12073850.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 62640.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1416690.0 | 1435676.0 | 1346098.0 | 1271087.0 | 1321401.0 | 1272780.0 | 1505342.0 | 0.0 | 1.0 | 2.0 | 0.0 | 0.0 | 27.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 54.0 | 66.0 | 49.0 | 53.0 | 0.0 | 25.0 | 0.0 | 0.0 | 744.0 | 276.0 | 0.0 | 783.0 | 883.0 | 957.0 | 981.0 | 876.0 | 83.0 | 113.0 | 88.0 | 66.0 | 51.0 | 48.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 10993961.0 | 0.0 | 0.0 | 5731942.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -771.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 307.0 | 0.0 | 0.0 | -42726.0 | 393.0 | 0.0 |
| 49950 | 15815593 | John Deere Green | 181823 | The Essential Joe Diffie | 2008-07-08 | Joe Diffie | US | United States | 462895.0 | Country | 1 | 6183185.0 | 43788.0 | 0.0 | 3.0 | 0.0 | 512.0 | 1049399.0 | 6609.0 | 0.0 | 35.0 | 0.0 | 425.0 | 894199.0 | 5337.0 | 4780490.0 | 1.0 | 0.0 | 364.0 | 755300.0 | 4652.0 | 3212346.0 | 3.0 | 0.0 | 353.0 | Country | 0.0 | 287868.0 | 308456.0 | 363465.0 | 380886.0 | 305048.0 | 342176.0 | 284981.0 | 267042.0 | 276224.0 | 249830.0 | 229246.0 | 0.0 | 2174.0 | 2103.0 | 2227.0 | 2516.0 | 1866.0 | 2162.0 | 1682.0 | 1493.0 | 1718.0 | 1528.0 | 1406.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1778201.0 | 1851673.0 | 1537177.0 | 1391640.0 | 1171651.0 | 1061246.0 | 979449.0 | 0.0 | 0.0 | 0.0 | 33.0 | 1.0 | 1.0 | 0.0 | 0.0 | 38.0 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 241.0 | 154.0 | 148.0 | 137.0 | 140.0 | 125.0 | 94.0 | 145.0 | 186.0 | 98.0 | 69.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2764451.0 | 0.0 | 0.0 | 5290548.0 | 0.0 | 5893046.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 58949 | 13044497 | It Ain't Safe | 654060 | It Ain't Safe (feat. Young Lord) | 2014-11-02 | Young L.O.R.D. | US | United States | 462889.0 | R&B/Soul | 1 | 10064727.0 | 103088.0 | 0.0 | 57.0 | 57.0 | 7.0 | 320318.0 | 3709.0 | 0.0 | -1.0 | 52.0 | 12.0 | 355076.0 | 3978.0 | 0.0 | -1.0 | -299.0 | 14.0 | -9957411.0 | -103770.0 | 0.0 | 3.0 | 411.0 | 1.0 | Hip-Hop/Rap | 0.0 | 145683.0 | 134290.0 | 108900.0 | 113421.0 | 97997.0 | 111785.0 | 130152.0 | 113139.0 | 0.0 | 10197058.0 | 0.0 | 0.0 | 1667.0 | 1427.0 | 1240.0 | 1447.0 | 1022.0 | 1097.0 | 1443.0 | 1438.0 | 0.0 | 106347.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 43.0 | 1.0 | 0.0 | 2.0 | 0.0 | 27.0 | 29.0 | 19.0 | 30.0 | 3.0 | 0.0 | 29.0 | 0.0 | 0.0 | 0.0 | 412.0 | 0.0 | 1.0 | 1.0 | 4.0 | 8.0 | 0.0 | 5.0 | 3.0 | 6.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -11355988.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -161421121.0 | -10503749.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 209.0 | 0.0 | 58.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 60636 | 18263822 | Feed the Wolf | 5677900 | Antrenament Ăźn ritm ROCK | 2020-02-07 | Breaking Benjamin | US | United States | 462898.0 | Metal | 1 | 9116709.0 | 79687.0 | 0.0 | 56.0 | 7.0 | 0.0 | 156959.0 | 997.0 | 0.0 | -1.0 | 34.0 | 0.0 | 139795.0 | 926.0 | 0.0 | -1.0 | 17.0 | 0.0 | -9409151.0 | -81600.0 | 0.0 | 1.0 | -85.0 | 0.0 | Hard Rock | 0.0 | 62758.0 | 67163.0 | 52646.0 | 0.0 | 9269867.0 | 49350.0 | 48286.0 | 42159.0 | 46908.0 | 46397.0 | 0.0 | 0.0 | 416.0 | 416.0 | 273.0 | 0.0 | 80681.0 | 322.0 | 301.0 | 303.0 | 296.0 | 316.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 56.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 54.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | 14.0 | 15.0 | 0.0 | 0.0 | 0.0 | 4.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3179720.0 | 0.0 | 6360227.0 | 7886131.0 | -186752521.0 | 0.0 | -121248313.0 | 0.0 | 0.0 | 0.0 | 6831261.0 | 8955636.0 | 0.0 | -67396153.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 58.0 | 0.0 | 0.0 | 0.0 | -108.0 |
| 64996 | 20320324 | A Viagem | 5407120 | ColigaçÔes Expressivas 5 | 2019-11-22 | Delacruz | BR | Brazil | 462882.0 | Pop | 1 | 0.0 | 0.0 | 0.0 | 40.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 129633.0 | -16.0 | 0.0 | 0.0 | 0.0 | 0.0 | 115112.0 | 2.0 | 0.0 | 0.0 | Hip-Hop/Rap | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 49658.0 | 46590.0 | 42957.0 | 40086.0 | 40428.0 | 31148.0 | 43536.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 65665 | 15822714 | A Night To Remember | 992550 | 16 Biggest Hits | 2002-02-19 | Joe Diffie | US | United States | 462895.0 | Country | 1 | 0.0 | 0.0 | 0.0 | 18.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -18.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | Country | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 17.0 | 0.0 | 16.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 26.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 67017 | 15533794 | Before The Next Teardrop Falls | 10080226 | At His Best | 2017-02-17 | Freddy Fender | US | United States | 462895.0 | Country | 1 | 18649702.0 | 80681.0 | 0.0 | 47.0 | 599.0 | 7.0 | 285961.0 | 2461.0 | 0.0 | 1.0 | 127.0 | 12.0 | 921379.0 | 9896.0 | 465127.0 | -48.0 | -724.0 | 107.0 | -9326339.0 | -11624.0 | 475290.0 | 1.0 | 862.0 | 80.0 | Country | 0.0 | 0.0 | 13048975.0 | 0.0 | 583671.0 | 11697339.0 | 0.0 | 11338875.0 | 313214.0 | 233313.0 | 183351.0 | 0.0 | 0.0 | 0.0 | 39505.0 | 0.0 | 4675.0 | 29772.0 | 0.0 | 28100.0 | 3352.0 | 2295.0 | 1618.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 136161.0 | 132625.0 | 166569.0 | 165933.0 | 167152.0 | 151611.0 | 156527.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 18.0 | 1.0 | 0.0 | 0.0 | 51.0 | 60.0 | 28.0 | 60.0 | 39.0 | 0.0 | 0.0 | 1.0 | 2.0 | 858.0 | 2.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 12.0 | 40.0 | 39.0 | 28.0 | 29.0 | 33.0 | 18.0 | 0.0 | 0.0 | -26472206.0 | 15868197.0 | 0.0 | 4184206.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4990588.0 | 0.0 | 16274892.0 | 4291958.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -411.0 | 0.0 | 0.0 | 0.0 | 481.0 | -7549.0 | 0.0 | 0.0 | -193.0 | 0.0 | 0.0 | 611.0 |
| 68014 | 16091566 | Pa Que la Pases Bien | 178794 | Luny Tunes Presents: Calle 434 | 2008-12-22 | Arcangel | US | United States | 462951.0 | Latin | 1 | 8863694.0 | 50108.0 | 0.0 | 39.0 | 0.0 | 114.0 | 524312.0 | 2004.0 | 0.0 | -1.0 | 0.0 | 37.0 | 736065.0 | 3783.0 | 0.0 | -38.0 | 0.0 | 0.0 | -9292464.0 | -52353.0 | 0.0 | 0.0 | 0.0 | 0.0 | Latin | 0.0 | 379605.0 | 426509.0 | 189966.0 | 176681.0 | 157665.0 | 208350.0 | 234010.0 | 293705.0 | 747482.0 | 653989.0 | 0.0 | 0.0 | 1718.0 | 1700.0 | 590.0 | 744.0 | 670.0 | 958.0 | 1182.0 | 1643.0 | 4237.0 | 2768.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 38.0 | 36.0 | 36.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -286303200.0 | 0.0 | 5740883.0 | 0.0 | 0.0 | 0.0 | 2334021.0 | 8435205.0 | -3592132.0 | 0.0 | -10837478.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 68448 | 12453884 | Anywhere Is | 1181464 | Themes From "Calmi Cuori Appassionati" | 2001-01-01 | Enya | IE | Ireland | 462884.0 | Rock | 1 | 8710094.0 | 43124.0 | 0.0 | 13.0 | 117.0 | 0.0 | 396478.0 | 2744.0 | 0.0 | 7.0 | -87.0 | 0.0 | 403303.0 | 3017.0 | 0.0 | -47.0 | -43.0 | 0.0 | -9420495.0 | -48887.0 | 0.0 | 0.0 | 42.0 | 0.0 | Celtic | 0.0 | 140152.0 | 158353.0 | 128693.0 | 147469.0 | 120316.0 | 134555.0 | 148556.0 | 120192.0 | 137262.0 | 145513.0 | 0.0 | 0.0 | 882.0 | 1059.0 | 834.0 | 1055.0 | 855.0 | 984.0 | 1136.0 | 897.0 | 1036.0 | 1010.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 13.0 | 0.0 | 8.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 105.0 | 8.0 | 0.0 | 50.0 | 0.0 | 0.0 | 39.0 | 0.0 | 7.0 | 1.0 | 34.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 7949127.0 | 0.0 | 6858635.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 8650075.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -4862.0 | 13.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 128.0 |
| 72698 | 11082625 | Tudo Que Vai | 5977056 | Cantando na Janela | 2020-05-01 | Capital Inicial | BR | Brazil | 462884.0 | Rock | 1 | 10892326.0 | 37822.0 | 0.0 | 3.0 | 0.0 | 230.0 | 285557.0 | 1806.0 | 0.0 | 0.0 | 0.0 | 139.0 | 244958.0 | 1630.0 | 0.0 | 0.0 | 0.0 | 80.0 | -10624535.0 | -41060.0 | 0.0 | 3.0 | 0.0 | 203.0 | Rock | 0.0 | 9779907.0 | 121290.0 | 0.0 | 10308690.0 | 88425.0 | 81528.0 | 90749.0 | 72681.0 | 68116.0 | 67778.0 | 0.0 | 0.0 | 36926.0 | 739.0 | 0.0 | 39011.0 | 549.0 | 578.0 | 614.0 | 438.0 | 393.0 | 346.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 43.0 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 65.0 | 81.0 | 59.0 | 61.0 | 19.0 | 22.0 | 17.0 | 41.0 | 76.0 | 67.0 | 60.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1754178.0 | 9617456.0 | 0.0 | 0.0 | 5307770.0 | 9206577.0 | -5504174.0 | -11295301.0 | 10730825.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 74631 | 12471868 | A Night To Remember | 17060505 | A Night To Remember | 2013-06-28 | Shalamar | US | United States | 462889.0 | R&B/Soul | 1 | 9941035.0 | 78496.0 | 0.0 | 28.0 | 121.0 | 1110.0 | 524586.0 | 5724.0 | 0.0 | 20.0 | 1350.0 | 1244.0 | 562338.0 | 5777.0 | 0.0 | -1.0 | 56.0 | 1627.0 | -10729760.0 | -89649.0 | 0.0 | -1.0 | 120.0 | 1118.0 | R&B/Soul | 0.0 | 2532515.0 | 212668.0 | 0.0 | 10261771.0 | 172108.0 | 177196.0 | 200923.0 | 184219.0 | 0.0 | 11125218.0 | 0.0 | 0.0 | 24630.0 | 2128.0 | 0.0 | 83873.0 | 1926.0 | 1886.0 | 2192.0 | 1699.0 | 0.0 | 93648.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 24.0 | 0.0 | 20.0 | 1.0 | 0.0 | 0.0 | 41.0 | 2.0 | 0.0 | 0.0 | 0.0 | 55.0 | 35.0 | 27.0 | 33.0 | 1290.0 | 12.0 | 6.0 | 38.0 | 0.0 | 0.0 | 0.0 | 0.0 | 336.0 | 379.0 | 400.0 | 423.0 | 421.0 | 724.0 | 510.0 | 393.0 | 407.0 | 336.0 | 375.0 | -9833244.0 | 0.0 | -151270.0 | -9316419.0 | 5229079.0 | 0.0 | 0.0 | -10925214.0 | 0.0 | 0.0 | -242256030.0 | 0.0 | -162550232.0 | -9746483.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -14406.0 | 0.0 | -10790.0 | -3253.0 | 0.0 |
| 75912 | 21627288 | Not A Damn Thing Changed | 3382485 | 3 (The Purple Album) | 2018-10-26 | Lukas Graham | DK | Denmark | 462882.0 | Pop | 1 | 10610617.0 | 144761.0 | 0.0 | 2.0 | 11.0 | 12.0 | 545929.0 | 5352.0 | 0.0 | 3.0 | 4.0 | 12.0 | 494267.0 | 3763.0 | 0.0 | -25.0 | 10.0 | 10.0 | -10982736.0 | -153820.0 | 0.0 | 2.0 | -2.0 | 10.0 | Pop | 0.0 | 164465.0 | 192215.0 | 147358.0 | 216876.0 | 181695.0 | 167290.0 | 176618.0 | 150359.0 | 0.0 | 551.0 | 488.0 | 0.0 | 1132.0 | 1568.0 | 1088.0 | 2557.0 | 1707.0 | 1368.0 | 1246.0 | 1149.0 | 0.0 | 1.0 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 3.0 | 1.0 | 0.0 | 22.0 | 1.0 | 2.0 | 22.0 | 0.0 | 0.0 | 0.0 | 8.0 | 2.0 | 3.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 4.0 | 4.0 | 5.0 | 3.0 | 4.0 | 4.0 | 4.0 | 2.0 | 4.0 | 4.0 | 2.0 | 0.0 | 0.0 | -12096816.0 | -23976318.0 | -3489619.0 | 435346.0 | 0.0 | 0.0 | 0.0 | 0.0 | 10399082.0 | 7934799.0 | 0.0 | -34803124.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -94.0 | -10.0 | 0.0 | -1784.0 | 0.0 |
| 81194 | 15717316 | Resolve | 1840280 | In Your Honor | 2005-06-14 | Foo Fighters | US | United States | 462882.0 | Pop | 1 | 11572091.0 | 32436.0 | 0.0 | 45.0 | 0.0 | 31.0 | 227770.0 | 1087.0 | 0.0 | -1.0 | 0.0 | 35.0 | 210660.0 | 1027.0 | 0.0 | -44.0 | 0.0 | 73.0 | -11660351.0 | -33663.0 | 0.0 | 0.0 | 0.0 | 88.0 | Alternative | 0.0 | 81514.0 | 84737.0 | 74172.0 | 90486.0 | 63112.0 | 77268.0 | 71915.0 | 61477.0 | 66104.0 | 76867.0 | 0.0 | 0.0 | 380.0 | 404.0 | 347.0 | 443.0 | 297.0 | 386.0 | 324.0 | 317.0 | 296.0 | 387.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 45.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 11.0 | 8.0 | 16.0 | 10.0 | 9.0 | 13.0 | 34.0 | 26.0 | 34.0 | 28.0 | 26.0 | 0.0 | -10343994.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 11358918.0 | -57857432.0 | 3018120.0 | 968820.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 82604 | 13248590 | Il bene | 535159 | ScriverĂČ il tuo nome (Deluxe Edition) | 2016-04-15 | Francesco Renga | IT | Italy | 462882.0 | Pop | 1 | 9717953.0 | 40576.0 | 0.0 | 7.0 | 465.0 | 14.0 | 251305.0 | 902.0 | 0.0 | -3.0 | 165.0 | 8.0 | 147709.0 | 764.0 | 299737.0 | 0.0 | 67.0 | 10.0 | -10113267.0 | -42239.0 | 342394.0 | 0.0 | 162.0 | 10.0 | Alternative | 0.0 | 172429.0 | 191238.0 | 113551.0 | 89047.0 | 48707.0 | 44040.0 | 53591.0 | 50078.0 | 66638.0 | 55045.0 | 0.0 | 0.0 | 1176.0 | 970.0 | 415.0 | 302.0 | 185.0 | 207.0 | 273.0 | 284.0 | 322.0 | 274.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 102314.0 | 89151.0 | 109748.0 | 100838.0 | 121175.0 | 105636.0 | 115583.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 269.0 | 102.0 | 48.0 | 15.0 | 0.0 | 38.0 | 33.0 | 67.0 | 59.0 | 36.0 | 0.0 | 4.0 | 3.0 | 3.0 | 4.0 | 1.0 | 4.0 | 3.0 | 3.0 | 4.0 | 3.0 | 3.0 | 0.0 | 0.0 | 0.0 | -4465392.0 | 5788528.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 9599599.0 | 5920242.0 | 4711862.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 635.0 | 0.0 | -91782.0 | 0.0 | 0.0 | -600.0 | 1091.0 | 0.0 | 0.0 |
| 87816 | 15763460 | Lady Marmalade | 1025073 | Kiss FM. Vive la Mejor MĂșsica de Todos los Tie... | 2014-11-24 | Patti LaBelle | US | United States | 462889.0 | R&B/Soul | 1 | 8208174.0 | 77642.0 | 0.0 | 58.0 | 32.0 | 0.0 | 251017.0 | 4342.0 | 0.0 | -1.0 | 17.0 | 22.0 | 326383.0 | 6885.0 | 2657357.0 | -2.0 | -87.0 | 335.0 | -8781973.0 | -88861.0 | 2622223.0 | 1.0 | 114.0 | 347.0 | R&B/Soul | 0.0 | 71965.0 | 94592.0 | 0.0 | 7660552.0 | 87428.0 | 108231.0 | 101819.0 | 116333.0 | 84980.0 | 71843.0 | 0.0 | 0.0 | 1101.0 | 1592.0 | 0.0 | 75418.0 | 1783.0 | 2656.0 | 2229.0 | 2000.0 | 1526.0 | 1066.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 843858.0 | 921538.0 | 873863.0 | 861956.0 | 930960.0 | 873451.0 | 817812.0 | 0.0 | 0.0 | 47.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 43.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | 6.0 | 5.0 | 0.0 | 98.0 | 0.0 | 5.0 | 3.0 | 106.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 22.0 | 112.0 | 108.0 | 115.0 | 102.0 | 112.0 | 133.0 | -29090215.0 | 0.0 | 0.0 | 0.0 | 7736644.0 | -73686800.0 | 0.0 | 0.0 | 0.0 | -48161864.0 | -90578662.0 | 0.0 | 0.0 | 0.0 | 4085148.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -45.0 | 0.0 | 0.0 | -42769.0 | 121.0 | 0.0 | -682.0 | -204.0 |
| 91692 | 15843518 | Down in the Valley | 4005880 | The Head and the Heart | 2010-01-01 | The Head And The Heart | US | United States | 462882.0 | Pop | 1 | 10033090.0 | 56101.0 | 0.0 | 60.0 | 13.0 | 22.0 | 170180.0 | 1211.0 | 0.0 | -1.0 | 29.0 | 22.0 | 167975.0 | 1564.0 | 0.0 | -8.0 | -179.0 | 17.0 | -10364967.0 | -58868.0 | 0.0 | -1.0 | 3.0 | 23.0 | Alternative | 0.0 | 59531.0 | 67911.0 | 56778.0 | 65509.0 | 47893.0 | 51455.0 | 56846.0 | 59674.0 | 62600.0 | 54049.0 | 0.0 | 0.0 | 389.0 | 472.0 | 340.0 | 535.0 | 336.0 | 537.0 | 573.0 | 454.0 | 448.0 | 399.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 589673.0 | 0.0 | 29.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 30.0 | 0.0 | 50.0 | 0.0 | 0.0 | 0.0 | 8.0 | 3.0 | 11.0 | 15.0 | 0.0 | 16.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | 5.0 | 9.0 | 8.0 | 5.0 | 5.0 | 6.0 | 6.0 | 6.0 | 8.0 | 9.0 | 0.0 | -9247808.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -494383923.0 | 0.0 | 0.0 | 2452030.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 141.0 | 0.0 | 0.0 | 0.0 | 32.0 | 146.0 | 0.0 |
| 92198 | 15815646 | John Deere Green | 3953763 | Honky Tonk Attitude | 1993-04-20 | Joe Diffie | US | United States | 462895.0 | Country | 1 | 9050732.0 | 34479.0 | 0.0 | 4.0 | 1227.0 | 510.0 | 128628.0 | 871.0 | 0.0 | 1.0 | 973.0 | 391.0 | 97107.0 | 678.0 | 0.0 | -5.0 | 983.0 | 1.0 | -9271143.0 | -36005.0 | 0.0 | -3.0 | 759.0 | 1.0 | Country | 0.0 | 38944.0 | 49931.0 | 45271.0 | 0.0 | 9174841.0 | 0.0 | 9239958.0 | 28065.0 | 31129.0 | 24758.0 | 0.0 | 0.0 | 290.0 | 331.0 | 304.0 | 0.0 | 35343.0 | 0.0 | 35755.0 | 190.0 | 256.0 | 177.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 368.0 | 404.0 | 282.0 | 390.0 | 301.0 | 317.0 | 313.0 | 353.0 | 357.0 | 234.0 | 168.0 | 0.0 | 241.0 | 152.0 | 149.0 | 138.0 | 104.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 8228140.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -633046.0 | -9527055.0 | 8729984.0 | -6075022.0 | -815775.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -4978.0 | 0.0 | 0.0 | 5121.0 | 0.0 | 0.0 | 0.0 | 5466.0 | 3744.0 | 0.0 | 5131.0 | 5583.0 | 0.0 | 0.0 |
| 94922 | 13250427 | La donna cannone | 3911484 | La Donna Cannone | 1983-01-01 | Francesco De Gregori | IT | Italy | 462884.0 | Rock | 1 | 17344290.0 | 53891.0 | 0.0 | 58.0 | 0.0 | 125.0 | 657634.0 | 2926.0 | 0.0 | 0.0 | 0.0 | 135.0 | 527329.0 | 2455.0 | 1464351.0 | -2.0 | 0.0 | 102.0 | -11418802.0 | -17637.0 | 1266778.0 | 1.0 | 0.0 | 123.0 | Pop | 0.0 | 228258.0 | 243892.0 | 0.0 | 17817511.0 | 141338.0 | 167272.0 | 197446.0 | 162611.0 | 208059.0 | 0.0 | 129403.0 | 0.0 | 801.0 | 972.0 | 0.0 | 55994.0 | 642.0 | 767.0 | 960.0 | 728.0 | 898.0 | 0.0 | 702.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 512366.0 | 483930.0 | 539732.0 | 440689.0 | 432836.0 | 427431.0 | 406511.0 | 0.0 | 0.0 | 34.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 31.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 40.0 | 38.0 | 54.0 | 40.0 | 41.0 | 31.0 | 37.0 | 34.0 | 39.0 | 38.0 | 46.0 | -1019162.0 | 15698797.0 | 0.0 | 10667636.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 17121084.0 | 0.0 | -199242968.0 | -9941924.0 | 0.0 | 17434874.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
df_youtube_c3_country = three.COUNTRY_NAME.value_counts()
df_youtube_c3_country = pd.DataFrame(data=df_youtube_c2_country)
df_youtube_c3_country.columns = ['count']
df_youtube_c3_country.plot.bar()
<AxesSubplot:>
df_youtube_c3_genre = three.ARTIST_GENRE.value_counts()
df_youtube_c3_genre = pd.DataFrame(data=df_youtube_c3_genre)
df_youtube_c3_genre.columns = ['count']
df_youtube_c3_genre.plot.bar()
<AxesSubplot:>
Repeat exactly the same thing as we did previously. Optimize params > build model with optimized params > remove 0 growth > optimize params > build new model > evaluate
### Slice out WoW Columns
qoq_spotify = df_sample_scaled[["Q1_SPOTIFY_PLAYS_GROWTH", "Q2_SPOTIFY_PLAYS_GROWTH", "Q3_SPOTIFY_PLAYS_GROWTH",
"Q4_SPOTIFY_PLAYS_GROWTH"]]
from sklearn.cluster import KMeans
from sklearn.metrics import silhouette_samples, silhouette_score
import time
n_clusters = [3,4,5,6]
for i in n_clusters:
start = time.time()
clusterer = KMeans(n_clusters = i, random_state = 10)
cluster_labels = clusterer.fit_predict(qoq_spotify)
silhouette_avg = silhouette_score(qoq_spotify, cluster_labels)
end = time.time()
timetaken = end - start
print("For n_clusters =", i, "The average silhouette score is:", silhouette_avg)
print("This iteration took", timetaken)
sample_silhouette_values = silhouette_samples(qoq_youtube, cluster_labels)
For n_clusters = 3 The average silhouette score is: 0.9967500853243395 This iteration took 21.889666080474854 For n_clusters = 4 The average silhouette score is: 0.9941777959767116 This iteration took 21.822834968566895 For n_clusters = 5 The average silhouette score is: 0.9935838383820632 This iteration took 21.408591270446777 For n_clusters = 6 The average silhouette score is: 0.9748434589216639 This iteration took 21.693091869354248
### First, determine EPS range
from sklearn.neighbors import NearestNeighbors
from matplotlib import pyplot as plt
neighbors = NearestNeighbors(n_neighbors=8)
neighbors_fit = neighbors.fit(qoq_spotify)
distances, indices = neighbors_fit.kneighbors(qoq_spotify)
distances = np.sort(distances, axis=0)
distances = distances[:,1]
plt.axis([0, 51000, 0, 0.02])
plt.plot(distances)
[<matplotlib.lines.Line2D at 0x7f8a192090a0>]
### Determine Optimum EPS
from sklearn.cluster import DBSCAN
eps_range = [0.001, 0.002, 0.003, 0.004, 0.005]
for i in eps_range:
start = time.time()
print("eps value is" + str(i))
db = DBSCAN(eps = i, min_samples=8).fit(qoq_spotify)
core_samples_mask = np.zeros_like(db.labels_, dtype=bool)
core_samples_mask[db.core_sample_indices_] = True
labels = db.labels_
silhouette_avg = silhouette_score(qoq_spotify, labels)
print(set(labels))
silhouette_avg = silhouette_score(qoq_spotify, labels)
end = time.time()
timetaken = end - start
print("For eps value ="+ str(i), labels, "the average silhouette score is:", silhouette_avg)
print("This iteration took", timetaken, "seconds")
eps value is0.001
{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, -1}
For eps value =0.001 [ 0 -1 0 ... 0 0 0] the average silhouette score is: 0.15876002626427932
This iteration took 61.006664991378784 seconds
eps value is0.002
{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, -1}
For eps value =0.002 [ 0 -1 0 ... 0 0 0] the average silhouette score is: 0.2918826649922619
This iteration took 60.876980781555176 seconds
eps value is0.003
{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, -1}
For eps value =0.003 [ 0 -1 0 ... 0 0 0] the average silhouette score is: 0.32459875798168575
This iteration took 62.36633014678955 seconds
eps value is0.004
{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, -1}
For eps value =0.004 [ 0 -1 0 ... 0 0 0] the average silhouette score is: 0.421031849056015
This iteration took 63.780704975128174 seconds
eps value is0.005
{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, -1}
For eps value =0.005 [ 0 -1 0 ... 0 0 0] the average silhouette score is: 0.5022656507002081
This iteration took 62.979327917099 seconds
min_samples = [24,25,26,27,28]
for i in min_samples:
start = time.time()
db = DBSCAN(eps = 0.004, min_samples=i).fit(qoq_spotify)
core_samples_mask = np.zeros_like(db.labels_, dtype=bool)
core_samples_mask[db.core_sample_indices_] = True
labels = db.labels_
silhouette_avg = silhouette_score(qoq_spotify, labels)
end = time.time()
timetaken = end - start
print("For min_sample value =" +str(i), "clusters produced ="+ str(len(set(labels))))
print("This iteration took", timetaken, "seconds")
For min_sample value =24 clusters produced =9 This iteration took 41.484431982040405 seconds For min_sample value =25 clusters produced =11 This iteration took 40.71910285949707 seconds For min_sample value =26 clusters produced =11 This iteration took 40.97695708274841 seconds For min_sample value =27 clusters produced =8 This iteration took 41.1752188205719 seconds For min_sample value =28 clusters produced =8 This iteration took 40.77605080604553 seconds
clustering = DBSCAN(eps=0.004, min_samples=28).fit(qoq_spotify)
components = clustering.components_
labels =clustering.labels_
core_sample_indices = clustering.core_sample_indices_
qoq_spotify.insert(0, 'cluster',clustering.labels_)
### count values within clusters
qoq_spotify.cluster.value_counts()
0 42752 -1 5669 1 178 2 119 4 61 5 35 3 32 6 28 Name: cluster, dtype: int64
### slice out the data we want
df_no_zero_spotify = qoq_spotify.query('cluster == -1' or 'cluster == 1' or 'cluster == 2' or 'cluster == 3' or 'cluster == 4')
### drop cluster column
df_no_zero_spotify = df_no_zero_spotify.drop(['cluster'], axis = 1)
### Determine optimum Epsilon range
from sklearn.neighbors import NearestNeighbors
from matplotlib import pyplot as plt
neighbors = NearestNeighbors(n_neighbors=8)
neighbors_fit = neighbors.fit(df_no_zero_spotify)
distances, indices = neighbors_fit.kneighbors(df_no_zero_spotify)
distances = np.sort(distances, axis=0)
distances = distances[:,1]
plt.axis([0, 6400, 0, 1])
plt.plot(distances)
[<matplotlib.lines.Line2D at 0x7f90f80c0e50>]
### Determine optimum EPS
eps_range = [0.05, 0.1, 0.15, 0.2, 0.25, 0.3]
for i in eps_range:
start = time.time()
print("eps value is" + str(i))
db = DBSCAN(eps = i, min_samples=8).fit(df_no_zero_spotify)
core_samples_mask = np.zeros_like(db.labels_, dtype=bool)
core_samples_mask[db.core_sample_indices_] = True
labels = db.labels_
silhouette_avg = silhouette_score(df_no_zero_spotify, labels)
print(set(labels))
silhouette_avg = silhouette_score(df_no_zero_spotify, labels)
end = time.time()
timetaken = start - end
print("For eps value ="+ str(i), labels, "the average silhouette score is:", silhouette_avg)
print("This iteration took", timetaken)
eps value is0.05
{0, 1, 2, 3, -1}
For eps value =0.05 [0 0 0 ... 0 0 0] the average silhouette score is: 0.4993567007493581
This iteration took -0.767949104309082
eps value is0.1
{0, 1, 2, 3, 4, 5, 6, -1}
For eps value =0.1 [0 0 0 ... 0 0 0] the average silhouette score is: -0.005111500251722316
This iteration took -0.667341947555542
eps value is0.15
{0, 1, 2, 3, 4, -1}
For eps value =0.15 [0 0 0 ... 0 0 0] the average silhouette score is: 0.4948063068861464
This iteration took -0.6944882869720459
eps value is0.2
{0, 1, 2, 3, 4, -1}
For eps value =0.2 [0 0 0 ... 0 0 0] the average silhouette score is: 0.6340161331143919
This iteration took -0.7002310752868652
eps value is0.25
{0, 1, 2, 3, 4, -1}
For eps value =0.25 [0 0 0 ... 0 0 0] the average silhouette score is: 0.6969086195838394
This iteration took -0.7103168964385986
eps value is0.3
{0, 1, 2, 3, 4, -1}
For eps value =0.3 [0 0 0 ... 0 0 0] the average silhouette score is: 0.6922544906937437
This iteration took -0.7114670276641846
### Determine optimum min_samples
min_samples = [7,8,9,10,11,12,13, 14, 15]
for i in min_samples:
db = DBSCAN(eps = 0.3, min_samples=i).fit(df_no_zero_spotify)
core_samples_mask = np.zeros_like(db.labels_, dtype=bool)
core_samples_mask[db.core_sample_indices_] = True
labels = db.labels_
silhouette_avg = silhouette_score(df_no_zero_spotify, labels)
print("For min_sample value =" +str(i), "clusters produced ="+ str(len(set(labels))))
For min_sample value =7 clusters produced =8 For min_sample value =8 clusters produced =6 For min_sample value =9 clusters produced =5 For min_sample value =10 clusters produced =4 For min_sample value =11 clusters produced =5 For min_sample value =12 clusters produced =5 For min_sample value =13 clusters produced =3 For min_sample value =14 clusters produced =3 For min_sample value =15 clusters produced =3
clustering = DBSCAN(eps=0.3, min_samples=9).fit(df_no_zero_spotify)
components = clustering.components_
labels =clustering.labels_
core_sample_indices = clustering.core_sample_indices_
df_no_zero_spotify.insert(0, 'cluster',clustering.labels_)
### count values within clusters
df_no_zero_spotify.cluster.value_counts()
0 5429 -1 202 1 16 3 13 2 9 Name: cluster, dtype: int64
clusters = df_no_zero_spotify \
.groupby('cluster') \
.agg('mean')
import matplotlib.pyplot as plt
from matplotlib import colors
def background_gradient(s, m, M, cmap='PuBu', low=0, high=0):
rng = M - m
norm = colors.Normalize(m - (rng * low),
M + (rng * high))
normed = norm(s.values)
c = [colors.rgb2hex(x) for x in plt.cm.get_cmap(cmap)(normed)]
return ['background-color: %s' % color for color in c]
clusters.style.apply(background_gradient,
cmap='Wistia',
m=clusters.min().min(),
M=clusters.max().max())
| Q1_SPOTIFY_PLAYS_GROWTH | Q2_SPOTIFY_PLAYS_GROWTH | Q3_SPOTIFY_PLAYS_GROWTH | Q4_SPOTIFY_PLAYS_GROWTH | |
|---|---|---|---|---|
| cluster | ||||
| -1 | 6.166798 | 3.512660 | 2.898341 | 8.340313 |
| 0 | -0.008941 | -0.014578 | 0.186263 | 0.502784 |
| 1 | 2.963808 | -0.014578 | -0.040787 | 0.526614 |
| 2 | -0.028792 | -0.014578 | 3.078321 | 7.074816 |
| 3 | -0.028792 | -0.014578 | 2.856379 | 6.077754 |
import plotly.express as px
fig = px.scatter_3d(df_no_zero_spotify, x="Q1_SPOTIFY_PLAYS_GROWTH", y="Q2_SPOTIFY_PLAYS_GROWTH", z= 'Q3_SPOTIFY_PLAYS_GROWTH',
color='cluster')
fig.show()
fig.update_layout(margin=dict(l=0, r=0, b=0, t=0))
### Investigate cluster -1
df_negative_1_s = df_no_zero_spotify.query('cluster == -1')
list_negative_1 = df_negative_1.index.tolist()
negative_1_s = df.query("TRACK_NAME in @list_negative_1")
negative_1_s
| CM_TRACK | TRACK_NAME | CM_ALBUM | ALBUM_NAME | RELEASE_DATE | ARTIST_NAME | ARTIST_COUNTRY_CODE2 | COUNTRY_NAME | GENRE_ID | ARTIST_GENRE | DUPE | Q1_YOUTUBE_VIEWS_GROWTH | Q1_YOUTUBE_LIKES_GROWTH | Q1_SPOTIFY_PLAYS_GROWTH | Q1_SPOTIFY_POPULARITY_GROWTH | Q1_TIKTOK_POSTS_GROWTH | Q1_AIRPLAY_STREAMS_GROWTH | Q2_YOUTUBE_VIEWS_GROWTH | Q2_YOUTUBE_LIKES_GROWTH | Q2_SPOTIFY_PLAYS_GROWTH | Q2_SPOTIFY_POPULARITY_GROWTH | Q2_TIKTOK_POSTS_GROWTH | Q2_AIRPLAY_STREAMS_GROWTH | Q3_YOUTUBE_VIEWS_GROWTH | Q3_YOUTUBE_LIKES_GROWTH | Q3_SPOTIFY_PLAYS_GROWTH | Q3_SPOTIFY_POPULARITY_GROWTH | Q3_TIKTOK_POSTS_GROWTH | Q3_AIRPLAY_STREAMS_GROWTH | Q4_YOUTUBE_VIEWS_GROWTH | Q4_YOUTUBE_LIKES_GROWTH | Q4_SPOTIFY_PLAYS_GROWTH | Q4_SPOTIFY_POPULARITY_GROWTH | Q4_TIKTOK_POSTS_GROWTH | Q4_AIRPLAY_STREAMS_GROWTH | GENRE | M1_YOUTUBE_VIEWS_GROWTH | M2_YOUTUBE_VIEWS_GROWTH | M3_YOUTUBE_VIEWS_GROWTH | M4_YOUTUBE_VIEWS_GROWTH | M5_YOUTUBE_VIEWS_GROWTH | M6_YOUTUBE_VIEWS_GROWTH | M7_YOUTUBE_VIEWS_GROWTH | M8_YOUTUBE_VIEWS_GROWTH | M9_YOUTUBE_VIEWS_GROWTH | M10_YOUTUBE_VIEWS_GROWTH | M11_YOUTUBE_VIEWS_GROWTH | M12_YOUTUBE_VIEWS_GROWTH | M1_YOUTUBE_LIKES_GROWTH | M2_YOUTUBE_LIKES_GROWTH | M3_YOUTUBE_LIKES_GROWTH | M4_YOUTUBE_LIKES_GROWTH | M5_YOUTUBE_LIKES_GROWTH | M6_YOUTUBE_LIKES_GROWTH | M7_YOUTUBE_LIKES_GROWTH | M8_YOUTUBE_LIKES_GROWTH | M9_YOUTUBE_LIKES_GROWTH | M10_YOUTUBE_LIKES_GROWTH | M11_YOUTUBE_LIKES_GROWTH | M12_YOUTUBE_LIKES_GROWTH | M1_SPOTIFY_PLAYS_GROWTH | M2_SPOTIFY_PLAYS_GROWTH | M3_SPOTIFY_PLAYS_GROWTH | M4_SPOTIFY_PLAYS_GROWTH | M5_SPOTIFY_PLAYS_GROWTH | M6_SPOTIFY_PLAYS_GROWTH | M7_SPOTIFY_PLAYS_GROWTH | M8_SPOTIFY_PLAYS_GROWTH | M9_SPOTIFY_PLAYS_GROWTH | M10_SPOTIFY_PLAYS_GROWTH | M11_SPOTIFY_PLAYS_GROWTH | M12_SPOTIFY_PLAYS_GROWTH | M1_SPOTIFY_POPULARITY_GROWTH | M2_SPOTIFY_POPULARITY_GROWTH | M3_SPOTIFY_POPULARITY_GROWTH | M4_SPOTIFY_POPULARITY_GROWTH | M5_SPOTIFY_POPULARITY_GROWTH | M6_SPOTIFY_POPULARITY_GROWTH | M7_SPOTIFY_POPULARITY_GROWTH | M8_SPOTIFY_POPULARITY_GROWTH | M9_SPOTIFY_POPULARITY_GROWTH | M10_SPOTIFY_POPULARITY_GROWTH | M11_SPOTIFY_POPULARITY_GROWTH | M12_SPOTIFY_POPULARITY_GROWTH | M1_TIKTOK_POSTS_GROWTH | M2_TIKTOK_POSTS_GROWTH | M3_TIKTOK_POSTS_GROWTH | M4_TIKTOK_POSTS_GROWTH | M5_TIKTOK_POSTS_GROWTH | M6_TIKTOK_POSTS_GROWTH | M7_TIKTOK_POSTS_GROWTH | M8_TIKTOK_POSTS_GROWTH | M9_TIKTOK_POSTS_GROWTH | M10_TIKTOK_POSTS_GROWTH | M11_TIKTOK_POSTS_GROWTH | M12_TIKTOK_POSTS_GROWTH | M1_AIRPLAY_STREAMS_GROWTH | M2_AIRPLAY_STREAMS_GROWTH | M3_AIRPLAY_STREAMS_GROWTH | M4_AIRPLAY_STREAMS_GROWTH | M5_AIRPLAY_STREAMS_GROWTH | M6_AIRPLAY_STREAMS_GROWTH | M7_AIRPLAY_STREAMS_GROWTH | M8_AIRPLAY_STREAMS_GROWTH | M9_AIRPLAY_STREAMS_GROWTH | M10_AIRPLAY_STREAMS_GROWTH | M11_AIRPLAY_STREAMS_GROWTH | M12_AIRPLAY_STREAMS_GROWTH | WK1_YT_VIEWS_GROWTH | WK2_YT_VIEWS_GROWTH | WK3_YT_VIEWS_GROWTH | WK4_YT_VIEWS_GROWTH | WK5_YT_VIEWS_GROWTH | WK6_YT_VIEWS_GROWTH | WK7_YT_VIEWS_GROWTH | WK8_YT_VIEWS_GROWTH | WK9_YT_VIEWS_GROWTH | WK10_YT_VIEWS_GROWTH | WK11_YT_VIEWS_GROWTH | WK12_YT_VIEWS_GROWTH | WK13_YT_VIEWS_GROWTH | WK14_YT_VIEWS_GROWTH | WK15_YT_VIEWS_GROWTH | WK1_SPOTIFY_PLAYS_GROWTH | WK2_SPOTIFY_PLAYS_GROWTH | WK3_SPOTIFY_PLAYS_GROWTH | WK4_SPOTIFY_PLAYS_GROWTH | WK5_SPOTIFY_PLAYS_GROWTH | WK6_SPOTIFY_PLAYS_GROWTH | WK7_SPOTIFY_PLAYS_GROWTH | WK8_SPOTIFY_PLAYS_GROWTH | WK9_SPOTIFY_PLAYS_GROWTH | WK10_SPOTIFY_PLAYS_GROWTH | WK11_SPOTIFY_PLAYS_GROWTH | WK12_SPOTIFY_PLAYS_GROWTH | WK13_SPOTIFY_PLAYS_GROWTH | WK14_SPOTIFY_PLAYS_GROWTH | WK15_SPOTIFY_PLAYS_GROWTH | WK1_TIKTOK_POSTS_GROWTH | WK2_TIKTOK_POSTS_GROWTH | WK3_TIKTOK_POSTS_GROWTH | WK4_TIKTOK_POSTS_GROWTH | WK5_TIKTOK_POSTS_GROWTH | WK6_TIKTOK_POSTS_GROWTH | WK7_TIKTOK_POSTS_GROWTH | WK8_TIKTOK_POSTS_GROWTH | WK9_TIKTOK_POSTS_GROWTH | WK10_TIKTOK_POSTS_GROWTH | WK11_TIKTOK_POSTS_GROWTH | WK12_TIKTOK_POSTS_GROWTH | WK13_TIKTOK_POSTS_GROWTH | WK14_TIKTOK_POSTS_GROWTH | WK15_TIKTOK_POSTS_GROWTH | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1106 | 63955242 | Jingle Bell Rock | 16515193 | Jingle Bell Rock - Single | 2021-10-15 | Aaron Goodvin | US | United States | 462895.0 | Country | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | Country | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 371624.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 1637 | 12760478 | Walk of Life | 3320514 | Sultans Of Swing - The Very Best Of Dire Strai... | 1998-11-10 | Dire Straits | GB | United Kingdom | 462941.0 | Hard Rock | 1 | 190232534.0 | 47301.0 | 0.0 | 37.0 | 121.0 | 4754.0 | 9050473.0 | 44976.0 | 0.0 | 9.0 | 49.0 | 4968.0 | 8877656.0 | 48117.0 | 23219669.0 | -1.0 | -447.0 | 5008.0 | 9129411.0 | 50740.0 | 22342960.0 | 2.0 | 616.0 | 4755.0 | Hard Rock | 0.0 | 3135347.0 | 3411246.0 | 3090998.0 | 3156404.0 | 2803071.0 | 3015935.0 | 3065314.0 | 2796407.0 | 2931368.0 | 2859852.0 | 3338191.0 | 0.0 | 15368.0 | 16634.0 | 14775.0 | 15715.0 | 14486.0 | 16457.0 | 16569.0 | 15091.0 | 16487.0 | 16006.0 | 18247.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 7363529.0 | 7716476.0 | 8590867.0 | 6912326.0 | 7726198.0 | 7430251.0 | 7186511.0 | 0.0 | 0.0 | 2.0 | 0.0 | 7.0 | 2.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 | 0.0 | 67.0 | 32.0 | 25.0 | 15.0 | 9.0 | 0.0 | 390.0 | 0.0 | 515.0 | 39.0 | 62.0 | 0.0 | 1487.0 | 1637.0 | 1653.0 | 1692.0 | 1623.0 | 1707.0 | 1675.0 | 1626.0 | 1611.0 | 1504.0 | 1640.0 | 0.0 | 0.0 | 0.0 | 183103054.0 | 0.0 | 0.0 | 184715830.0 | 186223982.0 | 0.0 | 0.0 | 188884632.0 | 0.0 | 0.0 | 0.0 | 189235476.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -284.0 | 0.0 | 0.0 | 0.0 | 0.0 | 373.0 | 0.0 | -1126.0 | 0.0 | -8637.0 | 0.0 | 548.0 |
| 1915 | 49664963 | Vibe | 11676166 | Vibe | 2021-06-18 | Mike Candys | CH | Switzerland | 462885.0 | Dance | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 67.0 | 0.0 | 6.0 | 0.0 | 0.0 | 6609606.0 | 1.0 | 0.0 | 16.0 | Dance | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2960144.0 | 2606502.0 | 2398479.0 | 2055240.0 | 2155887.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 64.0 | 3.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 14.0 | 0.0 | 0.0 | 27.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | 0.0 | 0.0 | 6.0 | 9.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 1945 | 28766256 | Suspicious Minds | 7942716 | Suspicious Minds | 2020-03-15 | Flavio | ES | Spain | 462958.0 | Latin Hip-Hop/Rap | 1 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | Latin | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 18.0 | 0.0 | 3.0 | 0.0 | 15.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -212.0 | 8.0 | 0.0 | 0.0 | -22084.0 | 0.0 |
| 2231 | 15682717 | Islands In the Stream | 1847470 | Elokuvien 100 suosituinta | 2010-02-08 | Kenny Rogers | US | United States | 462895.0 | Country | 1 | 16525310.0 | 81813.0 | 0.0 | 69.0 | 9.0 | 2548.0 | 4749886.0 | 23413.0 | 0.0 | -1.0 | -15.0 | 1866.0 | 4317447.0 | 23861.0 | 14031108.0 | -2.0 | -1149.0 | 1820.0 | 4325202.0 | 22869.0 | 13675769.0 | 2.0 | 1291.0 | 1477.0 | Country | 0.0 | 0.0 | 11292080.0 | 0.0 | 47682.0 | 15809923.0 | 0.0 | 18495497.0 | 1554832.0 | 1591491.0 | 1362253.0 | 1371458.0 | 0.0 | 0.0 | 34427.0 | 0.0 | 594.0 | 54849.0 | 0.0 | 68954.0 | 8747.0 | 8212.0 | 7290.0 | 7367.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4483582.0 | 4752343.0 | 4547152.0 | 4731613.0 | 4700026.0 | 4581506.0 | 4394237.0 | 0.0 | 17.0 | 52.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | 0.0 | 0.0 | 0.0 | 1.0 | 138.0 | 0.0 | 1430.0 | 0.0 | 0.0 | 767.0 | 897.0 | 872.0 | 452.0 | 542.0 | 578.0 | 579.0 | 663.0 | 617.0 | 504.0 | 356.0 | 0.0 | 0.0 | 0.0 | 0.0 | -125658211.0 | 0.0 | 8396664.0 | -649593937.0 | 0.0 | 0.0 | 0.0 | 0.0 | 15761423.0 | 0.0 | 4949215.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1334.0 | 0.0 | 1159.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 101911 | 59705222 | Vibe | 20597269 | Haunted Haus | 2022-04-08 | Ghastly | US | United States | 462890.0 | House | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 413392.0 | 0.0 | 0.0 | 2.0 | Dance | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 168078.0 | 132621.0 | 112693.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 101950 | 31948328 | Forever | 6999651 | Forever | 2020-11-13 | rei brown | US | United States | 462882.0 | Pop | 1 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | 0.0 | 0.0 | 0.0 | 502808.0 | 0.0 | -2.0 | 0.0 | 0.0 | 0.0 | 635995.0 | 0.0 | 10.0 | 0.0 | Electronic | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 172341.0 | 169746.0 | 170566.0 | 162496.0 | 203819.0 | 202456.0 | 229720.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | 3.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -10.0 | 0.0 | 0.0 | 0.0 | 0.0 | 11.0 |
| 101971 | 51828537 | O Ex da Sua Vida | 12128789 | Falando de Amor, Vol. 2 | 2021-07-01 | Gusttavo Lima | BR | Brazil | 462951.0 | Latin | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 12996547.0 | 1.0 | 135.0 | 145.0 | Latin | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 7108849.0 | 5616118.0 | 4726408.0 | 3516757.0 | 4753382.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 212.0 | 90.0 | 58.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 16.0 | 0.0 | 17.0 | 72.0 | 56.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 102020 | 32013076 | The Best Days (feat. Tabitha) | 7065746 | Home Sweet Home EP | 2020-11-27 | Sam Feldt | NL | Netherlands | 462885.0 | Dance | 1 | 0.0 | 0.0 | 0.0 | 45.0 | 8.0 | 43.0 | 0.0 | 0.0 | 0.0 | -2.0 | 39.0 | 25.0 | 0.0 | 0.0 | 9417866.0 | -4.0 | 0.0 | 7.0 | 0.0 | 0.0 | 4777785.0 | -1.0 | 0.0 | 8.0 | Dance | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3622410.0 | 3382095.0 | 3607489.0 | 2428282.0 | 1817046.0 | 1555659.0 | 1405080.0 | 0.0 | 0.0 | 2.0 | 0.0 | 47.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | 9.0 | 13.0 | 17.0 | 18.0 | 12.0 | 0.0 | 0.0 | 5.0 | 6.0 | 0.0 | 9.0 | 5.0 | 9.0 | 9.0 | 7.0 | 4.0 | 1.0 | 2.0 | 2.0 | 2.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 130.0 | 0.0 | 0.0 | -11.0 | 105.0 | -3616.0 | 0.0 | 115.0 |
| 102021 | 49090118 | Pegador | 11528373 | Pegador | 2021-06-12 | JoĂŁo Bosco & Vinicius | BR | Brazil | 462877.0 | Sertanejo | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5526599.0 | 0.0 | 0.0 | 8.0 | 465271.0 | 2780.0 | 1587118.0 | -7.0 | 0.0 | 0.0 | Jazz | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 157237.0 | 143648.0 | 164386.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1015.0 | 858.0 | 907.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2490112.0 | 1755999.0 | 1280488.0 | 779232.0 | 428865.0 | 379021.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 7.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
380 rows Ă 153 columns
negative_1_s.ARTIST_GENRE.value_counts()
Pop 83 Rock 49 R&B/Soul 29 Hip-Hop/Rap 27 Country 21 Electronic 20 Dance 16 Alternative 16 Latin 15 Metal 9 House 8 Latin Pop 8 Classical 7 Jazz 7 Vocal 6 Hard Rock 6 Holiday 4 Soft Rock 4 Christian 4 Indie Rock 3 Blues 3 Latin Rock 2 Reggae 2 Punk 2 Latin Hip-Hop/Rap 2 Singer/Songwriter 2 Easy Listening 2 Children's Music 2 Musicals 2 Others 1 Forro 1 African 1 Schlager 1 J-Pop 1 Grunge 1 Indian Hip-Hop/Rap 1 Techno 1 K-Pop 1 New Wave 1 Swing 1 New Age 1 Classic Rock 1 Salsa 1 Sertanejo 1 Name: ARTIST_GENRE, dtype: int64
df_spotify_cn1_country = negative_1_s.COUNTRY_NAME.value_counts()
df_spotify_cn1_country = pd.DataFrame(data=df_spotify_cn1_country)
df_spotify_cn1_country.columns = ['count']
df_spotify_cn1_country.plot.bar()
<AxesSubplot:>
df_spotify_cn1_genre = negative_1_s.ARTIST_GENRE.value_counts()
df_spotify_cn1_genre = pd.DataFrame(data=df_youtube_c1_genre)
df_spotify_cn1_genre.columns = ['count']
df_spotify_cn1_genre.plot.bar()
<AxesSubplot:>
### Investigate cluster 0
df_0 = df_no_zero_spotify.query('cluster == 0')
list_0 = df_0.index.tolist()
zero_s = df.query("TRACK_NAME in @list_0")
zero_s
| CM_TRACK | TRACK_NAME | CM_ALBUM | ALBUM_NAME | RELEASE_DATE | ARTIST_NAME | ARTIST_COUNTRY_CODE2 | COUNTRY_NAME | GENRE_ID | ARTIST_GENRE | DUPE | Q1_YOUTUBE_VIEWS_GROWTH | Q1_YOUTUBE_LIKES_GROWTH | Q1_SPOTIFY_PLAYS_GROWTH | Q1_SPOTIFY_POPULARITY_GROWTH | Q1_TIKTOK_POSTS_GROWTH | Q1_AIRPLAY_STREAMS_GROWTH | Q2_YOUTUBE_VIEWS_GROWTH | Q2_YOUTUBE_LIKES_GROWTH | Q2_SPOTIFY_PLAYS_GROWTH | Q2_SPOTIFY_POPULARITY_GROWTH | Q2_TIKTOK_POSTS_GROWTH | Q2_AIRPLAY_STREAMS_GROWTH | Q3_YOUTUBE_VIEWS_GROWTH | Q3_YOUTUBE_LIKES_GROWTH | Q3_SPOTIFY_PLAYS_GROWTH | Q3_SPOTIFY_POPULARITY_GROWTH | Q3_TIKTOK_POSTS_GROWTH | Q3_AIRPLAY_STREAMS_GROWTH | Q4_YOUTUBE_VIEWS_GROWTH | Q4_YOUTUBE_LIKES_GROWTH | Q4_SPOTIFY_PLAYS_GROWTH | Q4_SPOTIFY_POPULARITY_GROWTH | Q4_TIKTOK_POSTS_GROWTH | Q4_AIRPLAY_STREAMS_GROWTH | GENRE | M1_YOUTUBE_VIEWS_GROWTH | M2_YOUTUBE_VIEWS_GROWTH | M3_YOUTUBE_VIEWS_GROWTH | M4_YOUTUBE_VIEWS_GROWTH | M5_YOUTUBE_VIEWS_GROWTH | M6_YOUTUBE_VIEWS_GROWTH | M7_YOUTUBE_VIEWS_GROWTH | M8_YOUTUBE_VIEWS_GROWTH | M9_YOUTUBE_VIEWS_GROWTH | M10_YOUTUBE_VIEWS_GROWTH | M11_YOUTUBE_VIEWS_GROWTH | M12_YOUTUBE_VIEWS_GROWTH | M1_YOUTUBE_LIKES_GROWTH | M2_YOUTUBE_LIKES_GROWTH | M3_YOUTUBE_LIKES_GROWTH | M4_YOUTUBE_LIKES_GROWTH | M5_YOUTUBE_LIKES_GROWTH | M6_YOUTUBE_LIKES_GROWTH | M7_YOUTUBE_LIKES_GROWTH | M8_YOUTUBE_LIKES_GROWTH | M9_YOUTUBE_LIKES_GROWTH | M10_YOUTUBE_LIKES_GROWTH | M11_YOUTUBE_LIKES_GROWTH | M12_YOUTUBE_LIKES_GROWTH | M1_SPOTIFY_PLAYS_GROWTH | M2_SPOTIFY_PLAYS_GROWTH | M3_SPOTIFY_PLAYS_GROWTH | M4_SPOTIFY_PLAYS_GROWTH | M5_SPOTIFY_PLAYS_GROWTH | M6_SPOTIFY_PLAYS_GROWTH | M7_SPOTIFY_PLAYS_GROWTH | M8_SPOTIFY_PLAYS_GROWTH | M9_SPOTIFY_PLAYS_GROWTH | M10_SPOTIFY_PLAYS_GROWTH | M11_SPOTIFY_PLAYS_GROWTH | M12_SPOTIFY_PLAYS_GROWTH | M1_SPOTIFY_POPULARITY_GROWTH | M2_SPOTIFY_POPULARITY_GROWTH | M3_SPOTIFY_POPULARITY_GROWTH | M4_SPOTIFY_POPULARITY_GROWTH | M5_SPOTIFY_POPULARITY_GROWTH | M6_SPOTIFY_POPULARITY_GROWTH | M7_SPOTIFY_POPULARITY_GROWTH | M8_SPOTIFY_POPULARITY_GROWTH | M9_SPOTIFY_POPULARITY_GROWTH | M10_SPOTIFY_POPULARITY_GROWTH | M11_SPOTIFY_POPULARITY_GROWTH | M12_SPOTIFY_POPULARITY_GROWTH | M1_TIKTOK_POSTS_GROWTH | M2_TIKTOK_POSTS_GROWTH | M3_TIKTOK_POSTS_GROWTH | M4_TIKTOK_POSTS_GROWTH | M5_TIKTOK_POSTS_GROWTH | M6_TIKTOK_POSTS_GROWTH | M7_TIKTOK_POSTS_GROWTH | M8_TIKTOK_POSTS_GROWTH | M9_TIKTOK_POSTS_GROWTH | M10_TIKTOK_POSTS_GROWTH | M11_TIKTOK_POSTS_GROWTH | M12_TIKTOK_POSTS_GROWTH | M1_AIRPLAY_STREAMS_GROWTH | M2_AIRPLAY_STREAMS_GROWTH | M3_AIRPLAY_STREAMS_GROWTH | M4_AIRPLAY_STREAMS_GROWTH | M5_AIRPLAY_STREAMS_GROWTH | M6_AIRPLAY_STREAMS_GROWTH | M7_AIRPLAY_STREAMS_GROWTH | M8_AIRPLAY_STREAMS_GROWTH | M9_AIRPLAY_STREAMS_GROWTH | M10_AIRPLAY_STREAMS_GROWTH | M11_AIRPLAY_STREAMS_GROWTH | M12_AIRPLAY_STREAMS_GROWTH | WK1_YT_VIEWS_GROWTH | WK2_YT_VIEWS_GROWTH | WK3_YT_VIEWS_GROWTH | WK4_YT_VIEWS_GROWTH | WK5_YT_VIEWS_GROWTH | WK6_YT_VIEWS_GROWTH | WK7_YT_VIEWS_GROWTH | WK8_YT_VIEWS_GROWTH | WK9_YT_VIEWS_GROWTH | WK10_YT_VIEWS_GROWTH | WK11_YT_VIEWS_GROWTH | WK12_YT_VIEWS_GROWTH | WK13_YT_VIEWS_GROWTH | WK14_YT_VIEWS_GROWTH | WK15_YT_VIEWS_GROWTH | WK1_SPOTIFY_PLAYS_GROWTH | WK2_SPOTIFY_PLAYS_GROWTH | WK3_SPOTIFY_PLAYS_GROWTH | WK4_SPOTIFY_PLAYS_GROWTH | WK5_SPOTIFY_PLAYS_GROWTH | WK6_SPOTIFY_PLAYS_GROWTH | WK7_SPOTIFY_PLAYS_GROWTH | WK8_SPOTIFY_PLAYS_GROWTH | WK9_SPOTIFY_PLAYS_GROWTH | WK10_SPOTIFY_PLAYS_GROWTH | WK11_SPOTIFY_PLAYS_GROWTH | WK12_SPOTIFY_PLAYS_GROWTH | WK13_SPOTIFY_PLAYS_GROWTH | WK14_SPOTIFY_PLAYS_GROWTH | WK15_SPOTIFY_PLAYS_GROWTH | WK1_TIKTOK_POSTS_GROWTH | WK2_TIKTOK_POSTS_GROWTH | WK3_TIKTOK_POSTS_GROWTH | WK4_TIKTOK_POSTS_GROWTH | WK5_TIKTOK_POSTS_GROWTH | WK6_TIKTOK_POSTS_GROWTH | WK7_TIKTOK_POSTS_GROWTH | WK8_TIKTOK_POSTS_GROWTH | WK9_TIKTOK_POSTS_GROWTH | WK10_TIKTOK_POSTS_GROWTH | WK11_TIKTOK_POSTS_GROWTH | WK12_TIKTOK_POSTS_GROWTH | WK13_TIKTOK_POSTS_GROWTH | WK14_TIKTOK_POSTS_GROWTH | WK15_TIKTOK_POSTS_GROWTH | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 6 | 33741047 | Over | 12527653 | Afterhour | 2021-05-14 | FOURTY | DE | Germany | 462883.0 | Hip-Hop/Rap | 1 | 0.0 | 0.0 | 0.0 | 30.0 | 0.0 | 12.0 | 0.0 | 0.0 | 0.0 | -9.0 | 0.0 | 81.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | Dance | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 75.0 | 3.0 | 3.0 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -845.0 |
| 15 | 11657825 | Nocturne No.1 In B Flat Minor, Op.9 No.1 | 12375744 | Classical For Gardening | 2021-07-09 | Frédéric Chopin | PL | Poland | 462894.0 | New Age | 1 | 0.0 | 0.0 | 0.0 | 60.0 | 0.0 | 9.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0.0 | 12.0 | 0.0 | 0.0 | 2598859.0 | 2.0 | 0.0 | 4.0 | 0.0 | 0.0 | 3278214.0 | 3.0 | 0.0 | 8.0 | Classical | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 605496.0 | 730399.0 | 855677.0 | 1012783.0 | 1139428.0 | 1099183.0 | 1039603.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 40.0 | 0.0 | 0.0 | 42.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 5.0 | 4.0 | 3.0 | 2.0 | 2.0 | 0.0 | 1.0 | 5.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 23 | 32875570 | Lonely (feat. Malou) | 12555699 | Lonely (feat. Malou) - Single | 2021-02-19 | Malou | DE | Germany | 462885.0 | Dance | 1 | 0.0 | 0.0 | 0.0 | 53.0 | 3.0 | 21.0 | 0.0 | 0.0 | 0.0 | -3.0 | 2.0 | 29.0 | 0.0 | 0.0 | 380828.0 | 0.0 | 2.0 | 16.0 | 0.0 | 0.0 | 194705.0 | 0.0 | 1.0 | 18.0 | Dance | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 172136.0 | 130752.0 | 132138.0 | 117938.0 | 90096.0 | 56026.0 | 48583.0 | 0.0 | 0.0 | 53.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 8.0 | 11.0 | 13.0 | 5.0 | 1.0 | 2.0 | 13.0 | 13.0 | 3.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -84.0 | -322.0 | 0.0 | 13.0 |
| 27 | 15966354 | Flex | 147413 | Flex (feat. Tory Lanez & Fabolous) - Single | 2016-07-01 | Joe Budden | US | United States | 462883.0 | Hip-Hop/Rap | 1 | 1260510.0 | 88.0 | 0.0 | 2.0 | 0.0 | 0.0 | 7031.0 | 76.0 | 0.0 | -1.0 | 0.0 | 0.0 | 6931.0 | 75.0 | 0.0 | -3.0 | 0.0 | 0.0 | 5891.0 | 68.0 | 0.0 | 2.0 | 0.0 | 0.0 | Hip-Hop/Rap | 0.0 | 1848.0 | 2577.0 | 2534.0 | 2138.0 | 2359.0 | 2288.0 | 2168.0 | 2475.0 | 1527.0 | 2125.0 | 2239.0 | 0.0 | 38.0 | 25.0 | 23.0 | 27.0 | 26.0 | 22.0 | 25.0 | 28.0 | 21.0 | 22.0 | 25.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -9994086.0 | 0.0 | -35213594.0 | 0.0 | 0.0 | 0.0 | -7608523.0 | -5207633.0 | -5500156.0 | 949964.0 | -344181195.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 32 | 20563402 | To The End | 6842991 | Fall For Jesus | 2020-10-09 | Mack Brock | US | United States | 462879.0 | Christian | 1 | 0.0 | 0.0 | 0.0 | 48.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 275306.0 | -46.0 | 0.0 | 0.0 | 0.0 | 0.0 | 333607.0 | 0.0 | 0.0 | 0.0 | Christian | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 86467.0 | 90133.0 | 96965.0 | 88208.0 | 102820.0 | 112978.0 | 117809.0 | 0.0 | 0.0 | 42.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 102512 | 31721983 | Underdog | 6898771 | Underdog | 2020-10-19 | Ummet Ozcan | NL | Netherlands | 462890.0 | House | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 21.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | Electronic | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 102520 | 47079324 | Harraga | 11032308 | Harraga | 2021-06-03 | YONII | AT | Austria | 462883.0 | Hip-Hop/Rap | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 358284.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 197077.0 | 0.0 | 2.0 | 0.0 | Hip-Hop/Rap | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 167618.0 | 110978.0 | 79688.0 | 70854.0 | 57052.0 | 69171.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 102529 | 18618298 | Over the Rainbow | 961194 | Christmas Hits 2007 | 2007-11-26 | Eva Cassidy | US | United States | 462893.0 | Jazz | 1 | 0.0 | 0.0 | 0.0 | 2.0 | 183.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | 36.0 | 0.0 | 0.0 | 0.0 | 963252.0 | -52.0 | -233.0 | 0.0 | 0.0 | 0.0 | 1032416.0 | 54.0 | 244.0 | 0.0 | Folk | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 273709.0 | 300647.0 | 345797.0 | 316808.0 | 356964.0 | 348952.0 | 326500.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 53.0 | 0.0 | 1.0 | 0.0 | 148.0 | 20.0 | 24.0 | 3.0 | 9.0 | 0.0 | 241.0 | 0.0 | 3.0 | 37.0 | 204.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -15278.0 | 0.0 | 0.0 | 106.0 | 0.0 | 0.0 | -421.0 | -27908.0 | 195.0 | 0.0 | 203.0 | -216.0 | 0.0 |
| 102530 | 33435556 | 44BABY | 7728896 | 44BABY | 2021-03-11 | NARU | DE | Germany | 462883.0 | Hip-Hop/Rap | 1 | 0.0 | 0.0 | 0.0 | 59.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | -10.0 | -1.0 | 0.0 | 0.0 | 0.0 | 206363.0 | -41.0 | 0.0 | 0.0 | 0.0 | 0.0 | 115913.0 | 3.0 | 0.0 | 0.0 | Hip-Hop/Rap | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 121935.0 | 90967.0 | 63754.0 | 51642.0 | 43803.0 | 32884.0 | 39226.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -189.0 | 0.0 | -435.0 |
| 102544 | 17119125 | I'll Find My Way Home - Remastered | 6939072 | Christmas Chill | 2020-10-30 | Jon & Vangelis | GR | Greece | 462882.0 | Pop | 1 | 0.0 | 0.0 | 0.0 | 28.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 7.0 | 37.0 | 0.0 | 0.0 | 755767.0 | -34.0 | -7.0 | 377.0 | 0.0 | 0.0 | 805288.0 | 10.0 | 25.0 | 377.0 | New Age | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 264414.0 | 260644.0 | 257199.0 | 237924.0 | 261847.0 | 213170.0 | 330271.0 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | 0.0 | 9.0 | 0.0 | 12.0 | 0.0 | 0.0 | 0.0 | 3.0 | 3.0 | 1.0 | 6.0 | 0.0 | 0.0 | 0.0 | 0.0 | 25.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 37.0 | 117.0 | 142.0 | 118.0 | 146.0 | 115.0 | 116.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -245.0 | 0.0 | 0.0 | -18.0 | -254.0 |
8426 rows Ă 153 columns
df_spotify_c0 = zero_s.COUNTRY_NAME.value_counts()
df_spotify_c0 = pd.DataFrame(data=df_spotify_c0)
df_spotify_c0.columns = ['count']
df_spotify_c0.plot.bar()
<AxesSubplot:>
df_spotify_c0_genre = zero_s.ARTIST_GENRE.value_counts()
df_spotify_c0_genre = pd.DataFrame(data=df_spotify_c0_genre)
df_spotify_c0_genre.columns = ['count']
df_spotify_c0_genre.plot.bar()
<AxesSubplot:>
### Investigate cluster 1
df_1_s = df_no_zero_spotify.query('cluster == 1')
list_1_s = df_1_s.index.tolist()
one_s = df.query("TRACK_NAME in @list_1_s")
one_s.head()
| CM_TRACK | TRACK_NAME | CM_ALBUM | ALBUM_NAME | RELEASE_DATE | ARTIST_NAME | ARTIST_COUNTRY_CODE2 | COUNTRY_NAME | GENRE_ID | ARTIST_GENRE | DUPE | Q1_YOUTUBE_VIEWS_GROWTH | Q1_YOUTUBE_LIKES_GROWTH | Q1_SPOTIFY_PLAYS_GROWTH | Q1_SPOTIFY_POPULARITY_GROWTH | Q1_TIKTOK_POSTS_GROWTH | Q1_AIRPLAY_STREAMS_GROWTH | Q2_YOUTUBE_VIEWS_GROWTH | Q2_YOUTUBE_LIKES_GROWTH | Q2_SPOTIFY_PLAYS_GROWTH | Q2_SPOTIFY_POPULARITY_GROWTH | Q2_TIKTOK_POSTS_GROWTH | Q2_AIRPLAY_STREAMS_GROWTH | Q3_YOUTUBE_VIEWS_GROWTH | Q3_YOUTUBE_LIKES_GROWTH | Q3_SPOTIFY_PLAYS_GROWTH | Q3_SPOTIFY_POPULARITY_GROWTH | Q3_TIKTOK_POSTS_GROWTH | Q3_AIRPLAY_STREAMS_GROWTH | Q4_YOUTUBE_VIEWS_GROWTH | Q4_YOUTUBE_LIKES_GROWTH | Q4_SPOTIFY_PLAYS_GROWTH | Q4_SPOTIFY_POPULARITY_GROWTH | Q4_TIKTOK_POSTS_GROWTH | Q4_AIRPLAY_STREAMS_GROWTH | GENRE | M1_YOUTUBE_VIEWS_GROWTH | M2_YOUTUBE_VIEWS_GROWTH | M3_YOUTUBE_VIEWS_GROWTH | M4_YOUTUBE_VIEWS_GROWTH | M5_YOUTUBE_VIEWS_GROWTH | M6_YOUTUBE_VIEWS_GROWTH | M7_YOUTUBE_VIEWS_GROWTH | M8_YOUTUBE_VIEWS_GROWTH | M9_YOUTUBE_VIEWS_GROWTH | M10_YOUTUBE_VIEWS_GROWTH | M11_YOUTUBE_VIEWS_GROWTH | M12_YOUTUBE_VIEWS_GROWTH | M1_YOUTUBE_LIKES_GROWTH | M2_YOUTUBE_LIKES_GROWTH | M3_YOUTUBE_LIKES_GROWTH | M4_YOUTUBE_LIKES_GROWTH | M5_YOUTUBE_LIKES_GROWTH | M6_YOUTUBE_LIKES_GROWTH | M7_YOUTUBE_LIKES_GROWTH | M8_YOUTUBE_LIKES_GROWTH | M9_YOUTUBE_LIKES_GROWTH | M10_YOUTUBE_LIKES_GROWTH | M11_YOUTUBE_LIKES_GROWTH | M12_YOUTUBE_LIKES_GROWTH | M1_SPOTIFY_PLAYS_GROWTH | M2_SPOTIFY_PLAYS_GROWTH | M3_SPOTIFY_PLAYS_GROWTH | M4_SPOTIFY_PLAYS_GROWTH | M5_SPOTIFY_PLAYS_GROWTH | M6_SPOTIFY_PLAYS_GROWTH | M7_SPOTIFY_PLAYS_GROWTH | M8_SPOTIFY_PLAYS_GROWTH | M9_SPOTIFY_PLAYS_GROWTH | M10_SPOTIFY_PLAYS_GROWTH | M11_SPOTIFY_PLAYS_GROWTH | M12_SPOTIFY_PLAYS_GROWTH | M1_SPOTIFY_POPULARITY_GROWTH | M2_SPOTIFY_POPULARITY_GROWTH | M3_SPOTIFY_POPULARITY_GROWTH | M4_SPOTIFY_POPULARITY_GROWTH | M5_SPOTIFY_POPULARITY_GROWTH | M6_SPOTIFY_POPULARITY_GROWTH | M7_SPOTIFY_POPULARITY_GROWTH | M8_SPOTIFY_POPULARITY_GROWTH | M9_SPOTIFY_POPULARITY_GROWTH | M10_SPOTIFY_POPULARITY_GROWTH | M11_SPOTIFY_POPULARITY_GROWTH | M12_SPOTIFY_POPULARITY_GROWTH | M1_TIKTOK_POSTS_GROWTH | M2_TIKTOK_POSTS_GROWTH | M3_TIKTOK_POSTS_GROWTH | M4_TIKTOK_POSTS_GROWTH | M5_TIKTOK_POSTS_GROWTH | M6_TIKTOK_POSTS_GROWTH | M7_TIKTOK_POSTS_GROWTH | M8_TIKTOK_POSTS_GROWTH | M9_TIKTOK_POSTS_GROWTH | M10_TIKTOK_POSTS_GROWTH | M11_TIKTOK_POSTS_GROWTH | M12_TIKTOK_POSTS_GROWTH | M1_AIRPLAY_STREAMS_GROWTH | M2_AIRPLAY_STREAMS_GROWTH | M3_AIRPLAY_STREAMS_GROWTH | M4_AIRPLAY_STREAMS_GROWTH | M5_AIRPLAY_STREAMS_GROWTH | M6_AIRPLAY_STREAMS_GROWTH | M7_AIRPLAY_STREAMS_GROWTH | M8_AIRPLAY_STREAMS_GROWTH | M9_AIRPLAY_STREAMS_GROWTH | M10_AIRPLAY_STREAMS_GROWTH | M11_AIRPLAY_STREAMS_GROWTH | M12_AIRPLAY_STREAMS_GROWTH | WK1_YT_VIEWS_GROWTH | WK2_YT_VIEWS_GROWTH | WK3_YT_VIEWS_GROWTH | WK4_YT_VIEWS_GROWTH | WK5_YT_VIEWS_GROWTH | WK6_YT_VIEWS_GROWTH | WK7_YT_VIEWS_GROWTH | WK8_YT_VIEWS_GROWTH | WK9_YT_VIEWS_GROWTH | WK10_YT_VIEWS_GROWTH | WK11_YT_VIEWS_GROWTH | WK12_YT_VIEWS_GROWTH | WK13_YT_VIEWS_GROWTH | WK14_YT_VIEWS_GROWTH | WK15_YT_VIEWS_GROWTH | WK1_SPOTIFY_PLAYS_GROWTH | WK2_SPOTIFY_PLAYS_GROWTH | WK3_SPOTIFY_PLAYS_GROWTH | WK4_SPOTIFY_PLAYS_GROWTH | WK5_SPOTIFY_PLAYS_GROWTH | WK6_SPOTIFY_PLAYS_GROWTH | WK7_SPOTIFY_PLAYS_GROWTH | WK8_SPOTIFY_PLAYS_GROWTH | WK9_SPOTIFY_PLAYS_GROWTH | WK10_SPOTIFY_PLAYS_GROWTH | WK11_SPOTIFY_PLAYS_GROWTH | WK12_SPOTIFY_PLAYS_GROWTH | WK13_SPOTIFY_PLAYS_GROWTH | WK14_SPOTIFY_PLAYS_GROWTH | WK15_SPOTIFY_PLAYS_GROWTH | WK1_TIKTOK_POSTS_GROWTH | WK2_TIKTOK_POSTS_GROWTH | WK3_TIKTOK_POSTS_GROWTH | WK4_TIKTOK_POSTS_GROWTH | WK5_TIKTOK_POSTS_GROWTH | WK6_TIKTOK_POSTS_GROWTH | WK7_TIKTOK_POSTS_GROWTH | WK8_TIKTOK_POSTS_GROWTH | WK9_TIKTOK_POSTS_GROWTH | WK10_TIKTOK_POSTS_GROWTH | WK11_TIKTOK_POSTS_GROWTH | WK12_TIKTOK_POSTS_GROWTH | WK13_TIKTOK_POSTS_GROWTH | WK14_TIKTOK_POSTS_GROWTH | WK15_TIKTOK_POSTS_GROWTH | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 523 | 15117472 | Me And My B*tch | 3964024 | Ready To Die The Remaster | 1994-09-13 | The Notorious B.I.G. | US | United States | 462883.0 | Hip-Hop/Rap | 1 | 34972.0 | 27.0 | 1084365.0 | 25.0 | 38.0 | 6.0 | 0.0 | 0.0 | 0.0 | -4.0 | 28.0 | 5.0 | 0.0 | 0.0 | 0.0 | -53.0 | -162.0 | 0.0 | 2579.0 | 55.0 | 796096.0 | 53.0 | 199.0 | 0.0 | Hip-Hop/Rap | 0.0 | 0.0 | 1859.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 623.0 | 0.0 | 0.0 | 27.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 12.0 | 0.0 | 273562.0 | 544084.0 | 346690.0 | 316041.0 | 0.0 | 0.0 | 300789.0 | 246539.0 | 273199.0 | 261627.0 | 261270.0 | 0.0 | 1.0 | 5.0 | 0.0 | 0.0 | 19.0 | 0.0 | 51.0 | 0.0 | 53.0 | 0.0 | 0.0 | 0.0 | 17.0 | 18.0 | 8.0 | 6.0 | 14.0 | 0.0 | 84.0 | 0.0 | 198.0 | 1.0 | 0.0 | 0.0 | 0.0 | 6.0 | 0.0 | 3.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 33505.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1378.0 | 106.0 | 0.0 | 0.0 | 127.0 | 0.0 | 0.0 | 0.0 | 101.0 |
| 965 | 22381921 | Mother | 7747173 | Novidades Rock | 2021-03-12 | The Amazons | GB | United Kingdom | 462884.0 | Rock | 1 | 0.0 | 0.0 | 0.0 | 42.0 | 0.0 | 26.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 28.0 | 0.0 | 0.0 | 0.0 | -44.0 | 0.0 | 44.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 30.0 | Rock | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 42.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | 13.0 | 16.0 | 3.0 | 9.0 | 15.0 | 16.0 | 13.0 | 8.0 | 12.0 | 10.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 3452 | 13069086 | Glimmer | 3082170 | Given To The Wild | 2012-04-24 | The Maccabees | GB | United Kingdom | 462888.0 | Alternative | 1 | 0.0 | 0.0 | 0.0 | 26.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 | Alternative | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 28.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 12192 | 15895897 | Light It Up | 3254120 | Black | 2016-06-10 | Dierks Bentley | US | United States | 462895.0 | Country | 1 | 387204.0 | 0.0 | 0.0 | 37.0 | 0.0 | 0.0 | 3003.0 | 21.0 | 0.0 | 1.0 | 0.0 | 0.0 | 4000.0 | 21.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3074.0 | 16.0 | 0.0 | 0.0 | 0.0 | 0.0 | Country | 0.0 | 0.0 | 0.0 | 918.0 | 977.0 | 1108.0 | 1723.0 | 1184.0 | 1093.0 | 880.0 | 1052.0 | 1142.0 | 0.0 | 0.0 | 0.0 | 6.0 | 3.0 | 12.0 | 8.0 | 2.0 | 11.0 | 6.0 | 6.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -187634654.0 | -243830.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -493.0 | 0.0 | -4527.0 | -25000.0 |
| 17004 | 17722240 | Mother | 2156928 | Christmas Songs | 2017-11-10 | Love & The Outcome | US | United States | 462879.0 | Christian | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 18.0 | 0.0 | 0.0 | Christian | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 21.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
df_spotify_c1 = one_s.COUNTRY_NAME.value_counts()
df_spotify_c1 = pd.DataFrame(data=df_spotify_c1)
df_spotify_c1.columns = ['count']
df_spotify_c1.plot.bar()
<AxesSubplot:>
df_spotify_c1_genre = one_s.ARTIST_GENRE.value_counts()
df_spotify_c1_genre = pd.DataFrame(data=df_spotify_c1_genre)
df_spotify_c1_genre.columns = ['count']
df_spotify_c1_genre.plot.bar()
<AxesSubplot:>
### Investigate cluster 2
df_2_s = df_no_zero_spotify.query('cluster == 2')
list_2_s = df_2_s.index.tolist()
two_s = df.query("TRACK_NAME in @list_2_s")
two_s.head()
| CM_TRACK | TRACK_NAME | CM_ALBUM | ALBUM_NAME | RELEASE_DATE | ARTIST_NAME | ARTIST_COUNTRY_CODE2 | COUNTRY_NAME | GENRE_ID | ARTIST_GENRE | DUPE | Q1_YOUTUBE_VIEWS_GROWTH | Q1_YOUTUBE_LIKES_GROWTH | Q1_SPOTIFY_PLAYS_GROWTH | Q1_SPOTIFY_POPULARITY_GROWTH | Q1_TIKTOK_POSTS_GROWTH | Q1_AIRPLAY_STREAMS_GROWTH | Q2_YOUTUBE_VIEWS_GROWTH | Q2_YOUTUBE_LIKES_GROWTH | Q2_SPOTIFY_PLAYS_GROWTH | Q2_SPOTIFY_POPULARITY_GROWTH | Q2_TIKTOK_POSTS_GROWTH | Q2_AIRPLAY_STREAMS_GROWTH | Q3_YOUTUBE_VIEWS_GROWTH | Q3_YOUTUBE_LIKES_GROWTH | Q3_SPOTIFY_PLAYS_GROWTH | Q3_SPOTIFY_POPULARITY_GROWTH | Q3_TIKTOK_POSTS_GROWTH | Q3_AIRPLAY_STREAMS_GROWTH | Q4_YOUTUBE_VIEWS_GROWTH | Q4_YOUTUBE_LIKES_GROWTH | Q4_SPOTIFY_PLAYS_GROWTH | Q4_SPOTIFY_POPULARITY_GROWTH | Q4_TIKTOK_POSTS_GROWTH | Q4_AIRPLAY_STREAMS_GROWTH | GENRE | M1_YOUTUBE_VIEWS_GROWTH | M2_YOUTUBE_VIEWS_GROWTH | M3_YOUTUBE_VIEWS_GROWTH | M4_YOUTUBE_VIEWS_GROWTH | M5_YOUTUBE_VIEWS_GROWTH | M6_YOUTUBE_VIEWS_GROWTH | M7_YOUTUBE_VIEWS_GROWTH | M8_YOUTUBE_VIEWS_GROWTH | M9_YOUTUBE_VIEWS_GROWTH | M10_YOUTUBE_VIEWS_GROWTH | M11_YOUTUBE_VIEWS_GROWTH | M12_YOUTUBE_VIEWS_GROWTH | M1_YOUTUBE_LIKES_GROWTH | M2_YOUTUBE_LIKES_GROWTH | M3_YOUTUBE_LIKES_GROWTH | M4_YOUTUBE_LIKES_GROWTH | M5_YOUTUBE_LIKES_GROWTH | M6_YOUTUBE_LIKES_GROWTH | M7_YOUTUBE_LIKES_GROWTH | M8_YOUTUBE_LIKES_GROWTH | M9_YOUTUBE_LIKES_GROWTH | M10_YOUTUBE_LIKES_GROWTH | M11_YOUTUBE_LIKES_GROWTH | M12_YOUTUBE_LIKES_GROWTH | M1_SPOTIFY_PLAYS_GROWTH | M2_SPOTIFY_PLAYS_GROWTH | M3_SPOTIFY_PLAYS_GROWTH | M4_SPOTIFY_PLAYS_GROWTH | M5_SPOTIFY_PLAYS_GROWTH | M6_SPOTIFY_PLAYS_GROWTH | M7_SPOTIFY_PLAYS_GROWTH | M8_SPOTIFY_PLAYS_GROWTH | M9_SPOTIFY_PLAYS_GROWTH | M10_SPOTIFY_PLAYS_GROWTH | M11_SPOTIFY_PLAYS_GROWTH | M12_SPOTIFY_PLAYS_GROWTH | M1_SPOTIFY_POPULARITY_GROWTH | M2_SPOTIFY_POPULARITY_GROWTH | M3_SPOTIFY_POPULARITY_GROWTH | M4_SPOTIFY_POPULARITY_GROWTH | M5_SPOTIFY_POPULARITY_GROWTH | M6_SPOTIFY_POPULARITY_GROWTH | M7_SPOTIFY_POPULARITY_GROWTH | M8_SPOTIFY_POPULARITY_GROWTH | M9_SPOTIFY_POPULARITY_GROWTH | M10_SPOTIFY_POPULARITY_GROWTH | M11_SPOTIFY_POPULARITY_GROWTH | M12_SPOTIFY_POPULARITY_GROWTH | M1_TIKTOK_POSTS_GROWTH | M2_TIKTOK_POSTS_GROWTH | M3_TIKTOK_POSTS_GROWTH | M4_TIKTOK_POSTS_GROWTH | M5_TIKTOK_POSTS_GROWTH | M6_TIKTOK_POSTS_GROWTH | M7_TIKTOK_POSTS_GROWTH | M8_TIKTOK_POSTS_GROWTH | M9_TIKTOK_POSTS_GROWTH | M10_TIKTOK_POSTS_GROWTH | M11_TIKTOK_POSTS_GROWTH | M12_TIKTOK_POSTS_GROWTH | M1_AIRPLAY_STREAMS_GROWTH | M2_AIRPLAY_STREAMS_GROWTH | M3_AIRPLAY_STREAMS_GROWTH | M4_AIRPLAY_STREAMS_GROWTH | M5_AIRPLAY_STREAMS_GROWTH | M6_AIRPLAY_STREAMS_GROWTH | M7_AIRPLAY_STREAMS_GROWTH | M8_AIRPLAY_STREAMS_GROWTH | M9_AIRPLAY_STREAMS_GROWTH | M10_AIRPLAY_STREAMS_GROWTH | M11_AIRPLAY_STREAMS_GROWTH | M12_AIRPLAY_STREAMS_GROWTH | WK1_YT_VIEWS_GROWTH | WK2_YT_VIEWS_GROWTH | WK3_YT_VIEWS_GROWTH | WK4_YT_VIEWS_GROWTH | WK5_YT_VIEWS_GROWTH | WK6_YT_VIEWS_GROWTH | WK7_YT_VIEWS_GROWTH | WK8_YT_VIEWS_GROWTH | WK9_YT_VIEWS_GROWTH | WK10_YT_VIEWS_GROWTH | WK11_YT_VIEWS_GROWTH | WK12_YT_VIEWS_GROWTH | WK13_YT_VIEWS_GROWTH | WK14_YT_VIEWS_GROWTH | WK15_YT_VIEWS_GROWTH | WK1_SPOTIFY_PLAYS_GROWTH | WK2_SPOTIFY_PLAYS_GROWTH | WK3_SPOTIFY_PLAYS_GROWTH | WK4_SPOTIFY_PLAYS_GROWTH | WK5_SPOTIFY_PLAYS_GROWTH | WK6_SPOTIFY_PLAYS_GROWTH | WK7_SPOTIFY_PLAYS_GROWTH | WK8_SPOTIFY_PLAYS_GROWTH | WK9_SPOTIFY_PLAYS_GROWTH | WK10_SPOTIFY_PLAYS_GROWTH | WK11_SPOTIFY_PLAYS_GROWTH | WK12_SPOTIFY_PLAYS_GROWTH | WK13_SPOTIFY_PLAYS_GROWTH | WK14_SPOTIFY_PLAYS_GROWTH | WK15_SPOTIFY_PLAYS_GROWTH | WK1_TIKTOK_POSTS_GROWTH | WK2_TIKTOK_POSTS_GROWTH | WK3_TIKTOK_POSTS_GROWTH | WK4_TIKTOK_POSTS_GROWTH | WK5_TIKTOK_POSTS_GROWTH | WK6_TIKTOK_POSTS_GROWTH | WK7_TIKTOK_POSTS_GROWTH | WK8_TIKTOK_POSTS_GROWTH | WK9_TIKTOK_POSTS_GROWTH | WK10_TIKTOK_POSTS_GROWTH | WK11_TIKTOK_POSTS_GROWTH | WK12_TIKTOK_POSTS_GROWTH | WK13_TIKTOK_POSTS_GROWTH | WK14_TIKTOK_POSTS_GROWTH | WK15_TIKTOK_POSTS_GROWTH | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 237 | 32328050 | Eternal Flame | 7187918 | Eternal Flame | 2020-12-18 | PENTAGON | KR | South Korea | 462882.0 | Pop | 1 | 0.0 | 0.0 | 0.0 | 50.0 | 0.0 | 49.0 | 0.0 | 0.0 | 0.0 | -6.0 | 0.0 | 21.0 | 0.0 | 0.0 | 0.0 | -44.0 | 9.0 | 31.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 33.0 | K-Pop | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 8.0 | 6.0 | 5.0 | 9.0 | 7.0 | 12.0 | 9.0 | 10.0 | 12.0 | 8.0 | 13.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 509 | 21815691 | Starlight | 3365695 | Starlight | 2018-10-19 | BABYMETAL | JP | Japan | 462884.0 | Rock | 1 | 5179619.0 | 3264.0 | 0.0 | 22.0 | 47.0 | 4.0 | 156612.0 | 2625.0 | 0.0 | 24.0 | 20.0 | 0.0 | 153045.0 | 2502.0 | 0.0 | -36.0 | -62.0 | 5.0 | 129372.0 | 2046.0 | 0.0 | 16.0 | 73.0 | 4.0 | Hard Rock | 0.0 | 70830.0 | 75610.0 | 56308.0 | 56591.0 | 43713.0 | 51029.0 | 54787.0 | 47229.0 | 46026.0 | 42660.0 | 40686.0 | 0.0 | 1258.0 | 1409.0 | 909.0 | 978.0 | 738.0 | 901.0 | 868.0 | 733.0 | 751.0 | 654.0 | 641.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 9.0 | 0.0 | 32.0 | 0.0 | 0.0 | 0.0 | 10.0 | 17.0 | 0.0 | 0.0 | 0.0 | 0.0 | 47.0 | 12.0 | 6.0 | 2.0 | 0.0 | 6.0 | 0.0 | 1.0 | 6.0 | 66.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | 2.0 | 1.0 | 0.0 | 3.0 | 0.0 | 0.0 | -308425708.0 | 0.0 | -46136631.0 | -5781012.0 | 0.0 | -349708.0 | 0.0 | 0.0 | 1333673.0 | 0.0 | -4050805.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -18748.0 | 0.0 | 0.0 |
| 2282 | 12451508 | Starlight | 6239135 | 100 Greatest Pride Songs | 2020-07-01 | Muse | GB | United Kingdom | 462882.0 | Pop | 1 | 7131300.0 | 123392.0 | 0.0 | 68.0 | 466.0 | 4283.0 | -6763894.0 | -123030.0 | 0.0 | -1.0 | 400.0 | 4461.0 | 9484508.0 | 148401.0 | 12179814.0 | -2.0 | -2364.0 | 3965.0 | -9157858.0 | -144628.0 | 12115074.0 | 3.0 | 1847.0 | 3818.0 | Alternative | 0.0 | 0.0 | 435058.0 | 0.0 | 7642535.0 | 0.0 | 0.0 | 9404042.0 | 442622.0 | 0.0 | 10234865.0 | 0.0 | 0.0 | 85349.0 | 4446.0 | 0.0 | 131494.0 | 0.0 | 0.0 | 147580.0 | 4135.0 | 0.0 | 154036.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3942820.0 | 3796329.0 | 4306314.0 | 4077171.0 | 4169383.0 | 3925369.0 | 4020322.0 | 0.0 | 1.0 | 2.0 | 0.0 | 0.0 | 41.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 | 0.0 | 164.0 | 144.0 | 145.0 | 142.0 | 113.0 | 119.0 | 0.0 | 0.0 | 452.0 | 2396.0 | 0.0 | 0.0 | 1305.0 | 1552.0 | 1496.0 | 1531.0 | 1434.0 | 1366.0 | 1391.0 | 1208.0 | 1251.0 | 1268.0 | 1299.0 | 0.0 | 3788701.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -9319832.0 | 0.0 | 6290037.0 | 3496380.0 | 5867007.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 903.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1346.0 | 0.0 | 1944.0 | 0.0 | 2012.0 |
| 5178 | 15758732 | Don't Bring Me Down | 169825 | Definitive Collection | 1992-01-01 | Electric Light Orchestra | GB | United Kingdom | 462884.0 | Rock | 1 | 2706997.0 | 17577.0 | 0.0 | 3.0 | 406.0 | 2063.0 | -2088818.0 | -14917.0 | 0.0 | 21.0 | 385.0 | 2096.0 | 2885610.0 | 24149.0 | 13010157.0 | -2.0 | -1746.0 | 1984.0 | 571152.0 | 6038.0 | 12023829.0 | 2.0 | 2199.0 | 1846.0 | Pop | 0.0 | 0.0 | 2225506.0 | 0.0 | 35312.0 | 29089.0 | 2581973.0 | 160070.0 | 143567.0 | 0.0 | 3074658.0 | 214339.0 | 0.0 | 0.0 | 17206.0 | 0.0 | 653.0 | 457.0 | 20595.0 | 1800.0 | 1754.0 | 0.0 | 25036.0 | 2343.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4316789.0 | 4587710.0 | 4549282.0 | 3873165.0 | 4425760.0 | 3899784.0 | 3698285.0 | 0.0 | 0.0 | 3.0 | 0.0 | 22.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 99.0 | 170.0 | 159.0 | 123.0 | 103.0 | 124.0 | 0.0 | 0.0 | 2078.0 | 0.0 | 0.0 | 0.0 | 666.0 | 722.0 | 713.0 | 712.0 | 671.0 | 667.0 | 651.0 | 666.0 | 685.0 | 583.0 | 578.0 | 0.0 | 0.0 | 0.0 | 1914827.0 | 0.0 | 1187855.0 | 0.0 | 0.0 | 0.0 | 197009.0 | 0.0 | 0.0 | -8380023.0 | 0.0 | 2101057.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 930.0 | -82.0 | 0.0 | 0.0 | 1173.0 | 0.0 | 1002.0 | 283.0 | 0.0 | 0.0 |
| 13528 | 33648905 | Starlight | 7780009 | World's Most Stressed Out Gardener | 2021-03-19 | Chad VanGaalen | CA | Canada | 462884.0 | Rock | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 12.0 | 0.0 | 0.0 | 0.0 | 33.0 | 0.0 | 18.0 | 0.0 | 0.0 | 0.0 | -20.0 | 0.0 | 8.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 8.0 | Electronic | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 11879.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 42.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 10.0 | 8.0 | 0.0 | 2.0 | 5.0 | 1.0 | 2.0 | 1.0 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
df_spotify_c2 = two_s.COUNTRY_NAME.value_counts()
df_spotify_c2 = pd.DataFrame(data=df_spotify_c2)
df_spotify_c2.columns = ['count']
df_spotify_c2.plot.bar()
<AxesSubplot:>
df_spotify_c2_genre = two_s.ARTIST_GENRE.value_counts()
df_spotify_c2_genre = pd.DataFrame(data=df_spotify_c2_genre)
df_spotify_c2.columns = ['count']
df_spotify_c2.plot.bar()
<AxesSubplot:>
### Investigate cluster 3
df_3_s = df_no_zero_spotify.query('cluster == 3')
list_3_s = df_3_s.index.tolist()
three_s = df.query("TRACK_NAME in @list_3_s")
three_s.head()
| CM_TRACK | TRACK_NAME | CM_ALBUM | ALBUM_NAME | RELEASE_DATE | ARTIST_NAME | ARTIST_COUNTRY_CODE2 | COUNTRY_NAME | GENRE_ID | ARTIST_GENRE | DUPE | Q1_YOUTUBE_VIEWS_GROWTH | Q1_YOUTUBE_LIKES_GROWTH | Q1_SPOTIFY_PLAYS_GROWTH | Q1_SPOTIFY_POPULARITY_GROWTH | Q1_TIKTOK_POSTS_GROWTH | Q1_AIRPLAY_STREAMS_GROWTH | Q2_YOUTUBE_VIEWS_GROWTH | Q2_YOUTUBE_LIKES_GROWTH | Q2_SPOTIFY_PLAYS_GROWTH | Q2_SPOTIFY_POPULARITY_GROWTH | Q2_TIKTOK_POSTS_GROWTH | Q2_AIRPLAY_STREAMS_GROWTH | Q3_YOUTUBE_VIEWS_GROWTH | Q3_YOUTUBE_LIKES_GROWTH | Q3_SPOTIFY_PLAYS_GROWTH | Q3_SPOTIFY_POPULARITY_GROWTH | Q3_TIKTOK_POSTS_GROWTH | Q3_AIRPLAY_STREAMS_GROWTH | Q4_YOUTUBE_VIEWS_GROWTH | Q4_YOUTUBE_LIKES_GROWTH | Q4_SPOTIFY_PLAYS_GROWTH | Q4_SPOTIFY_POPULARITY_GROWTH | Q4_TIKTOK_POSTS_GROWTH | Q4_AIRPLAY_STREAMS_GROWTH | GENRE | M1_YOUTUBE_VIEWS_GROWTH | M2_YOUTUBE_VIEWS_GROWTH | M3_YOUTUBE_VIEWS_GROWTH | M4_YOUTUBE_VIEWS_GROWTH | M5_YOUTUBE_VIEWS_GROWTH | M6_YOUTUBE_VIEWS_GROWTH | M7_YOUTUBE_VIEWS_GROWTH | M8_YOUTUBE_VIEWS_GROWTH | M9_YOUTUBE_VIEWS_GROWTH | M10_YOUTUBE_VIEWS_GROWTH | M11_YOUTUBE_VIEWS_GROWTH | M12_YOUTUBE_VIEWS_GROWTH | M1_YOUTUBE_LIKES_GROWTH | M2_YOUTUBE_LIKES_GROWTH | M3_YOUTUBE_LIKES_GROWTH | M4_YOUTUBE_LIKES_GROWTH | M5_YOUTUBE_LIKES_GROWTH | M6_YOUTUBE_LIKES_GROWTH | M7_YOUTUBE_LIKES_GROWTH | M8_YOUTUBE_LIKES_GROWTH | M9_YOUTUBE_LIKES_GROWTH | M10_YOUTUBE_LIKES_GROWTH | M11_YOUTUBE_LIKES_GROWTH | M12_YOUTUBE_LIKES_GROWTH | M1_SPOTIFY_PLAYS_GROWTH | M2_SPOTIFY_PLAYS_GROWTH | M3_SPOTIFY_PLAYS_GROWTH | M4_SPOTIFY_PLAYS_GROWTH | M5_SPOTIFY_PLAYS_GROWTH | M6_SPOTIFY_PLAYS_GROWTH | M7_SPOTIFY_PLAYS_GROWTH | M8_SPOTIFY_PLAYS_GROWTH | M9_SPOTIFY_PLAYS_GROWTH | M10_SPOTIFY_PLAYS_GROWTH | M11_SPOTIFY_PLAYS_GROWTH | M12_SPOTIFY_PLAYS_GROWTH | M1_SPOTIFY_POPULARITY_GROWTH | M2_SPOTIFY_POPULARITY_GROWTH | M3_SPOTIFY_POPULARITY_GROWTH | M4_SPOTIFY_POPULARITY_GROWTH | M5_SPOTIFY_POPULARITY_GROWTH | M6_SPOTIFY_POPULARITY_GROWTH | M7_SPOTIFY_POPULARITY_GROWTH | M8_SPOTIFY_POPULARITY_GROWTH | M9_SPOTIFY_POPULARITY_GROWTH | M10_SPOTIFY_POPULARITY_GROWTH | M11_SPOTIFY_POPULARITY_GROWTH | M12_SPOTIFY_POPULARITY_GROWTH | M1_TIKTOK_POSTS_GROWTH | M2_TIKTOK_POSTS_GROWTH | M3_TIKTOK_POSTS_GROWTH | M4_TIKTOK_POSTS_GROWTH | M5_TIKTOK_POSTS_GROWTH | M6_TIKTOK_POSTS_GROWTH | M7_TIKTOK_POSTS_GROWTH | M8_TIKTOK_POSTS_GROWTH | M9_TIKTOK_POSTS_GROWTH | M10_TIKTOK_POSTS_GROWTH | M11_TIKTOK_POSTS_GROWTH | M12_TIKTOK_POSTS_GROWTH | M1_AIRPLAY_STREAMS_GROWTH | M2_AIRPLAY_STREAMS_GROWTH | M3_AIRPLAY_STREAMS_GROWTH | M4_AIRPLAY_STREAMS_GROWTH | M5_AIRPLAY_STREAMS_GROWTH | M6_AIRPLAY_STREAMS_GROWTH | M7_AIRPLAY_STREAMS_GROWTH | M8_AIRPLAY_STREAMS_GROWTH | M9_AIRPLAY_STREAMS_GROWTH | M10_AIRPLAY_STREAMS_GROWTH | M11_AIRPLAY_STREAMS_GROWTH | M12_AIRPLAY_STREAMS_GROWTH | WK1_YT_VIEWS_GROWTH | WK2_YT_VIEWS_GROWTH | WK3_YT_VIEWS_GROWTH | WK4_YT_VIEWS_GROWTH | WK5_YT_VIEWS_GROWTH | WK6_YT_VIEWS_GROWTH | WK7_YT_VIEWS_GROWTH | WK8_YT_VIEWS_GROWTH | WK9_YT_VIEWS_GROWTH | WK10_YT_VIEWS_GROWTH | WK11_YT_VIEWS_GROWTH | WK12_YT_VIEWS_GROWTH | WK13_YT_VIEWS_GROWTH | WK14_YT_VIEWS_GROWTH | WK15_YT_VIEWS_GROWTH | WK1_SPOTIFY_PLAYS_GROWTH | WK2_SPOTIFY_PLAYS_GROWTH | WK3_SPOTIFY_PLAYS_GROWTH | WK4_SPOTIFY_PLAYS_GROWTH | WK5_SPOTIFY_PLAYS_GROWTH | WK6_SPOTIFY_PLAYS_GROWTH | WK7_SPOTIFY_PLAYS_GROWTH | WK8_SPOTIFY_PLAYS_GROWTH | WK9_SPOTIFY_PLAYS_GROWTH | WK10_SPOTIFY_PLAYS_GROWTH | WK11_SPOTIFY_PLAYS_GROWTH | WK12_SPOTIFY_PLAYS_GROWTH | WK13_SPOTIFY_PLAYS_GROWTH | WK14_SPOTIFY_PLAYS_GROWTH | WK15_SPOTIFY_PLAYS_GROWTH | WK1_TIKTOK_POSTS_GROWTH | WK2_TIKTOK_POSTS_GROWTH | WK3_TIKTOK_POSTS_GROWTH | WK4_TIKTOK_POSTS_GROWTH | WK5_TIKTOK_POSTS_GROWTH | WK6_TIKTOK_POSTS_GROWTH | WK7_TIKTOK_POSTS_GROWTH | WK8_TIKTOK_POSTS_GROWTH | WK9_TIKTOK_POSTS_GROWTH | WK10_TIKTOK_POSTS_GROWTH | WK11_TIKTOK_POSTS_GROWTH | WK12_TIKTOK_POSTS_GROWTH | WK13_TIKTOK_POSTS_GROWTH | WK14_TIKTOK_POSTS_GROWTH | WK15_TIKTOK_POSTS_GROWTH | |
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| 4466 | 13436558 | Por Mujeres Como TĂș | 18609450 | Rolitas Bien Padres | 2022-01-26 | Pepe Aguilar | MX | Mexico | 462957.0 | Latin Pop | 1 | 154277064.0 | 36166.0 | 0.0 | 72.0 | 186.0 | 73.0 | 8472815.0 | 30311.0 | 0.0 | -63.0 | 422.0 | 77.0 | 6386299.0 | 25554.0 | 9594220.0 | 61.0 | 558.0 | 87.0 | 6756783.0 | 33528.0 | 10588867.0 | 4.0 | 303.0 | 79.0 | Latin | 0.0 | 3655001.0 | 3904724.0 | 3308060.0 | 3002850.0 | 2161905.0 | 2395815.0 | 2165736.0 | 1824748.0 | 1871438.0 | 1985950.0 | 2899395.0 | 0.0 | 10726.0 | 12404.0 | 10952.0 | 10852.0 | 8507.0 | 8961.0 | 8454.0 | 8139.0 | 8460.0 | 10152.0 | 14916.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2998733.0 | 3084653.0 | 3110529.0 | 3399038.0 | 3503354.0 | 3199483.0 | 3886030.0 | 0.0 | 0.0 | 72.0 | 0.0 | 0.0 | 5.0 | 61.0 | 0.0 | 1.0 | 2.0 | 0.0 | 3.0 | 0.0 | 0.0 | 149.0 | 90.0 | 150.0 | 182.0 | 0.0 | 997.0 | 176.0 | 0.0 | 1378.0 | 123.0 | 0.0 | 25.0 | 40.0 | 22.0 | 23.0 | 32.0 | 30.0 | 31.0 | 26.0 | 26.0 | 28.0 | 25.0 | 0.0 | 117396701.0 | 126393135.0 | 0.0 | 0.0 | 147087224.0 | 0.0 | 0.0 | -187033377.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 155602536.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2762.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 203.0 |
| 5526 | 13300817 | Dragostea Din Tei | 1237695 | DiscO-Zone | 2002-01-01 | O-Zone | MD | Moldova | 462885.0 | Dance | 1 | 81004429.0 | 934846.0 | 0.0 | 59.0 | 315.0 | 1269.0 | 13417071.0 | 156665.0 | 0.0 | -11.0 | 273.0 | 1308.0 | 13350982.0 | 146929.0 | 12009520.0 | 7.0 | 236.0 | 1141.0 | 11323738.0 | 118562.0 | 10558977.0 | 2.0 | 135.0 | 602.0 | Dance | 0.0 | 13778871.0 | 5888334.0 | 5036098.0 | 4478335.0 | 3902638.0 | 0.0 | 3500532.0 | 104266207.0 | 3409393.0 | 4055780.0 | 3858565.0 | 0.0 | 591299.0 | 87374.0 | 57318.0 | 53618.0 | 45729.0 | 0.0 | 61999.0 | 1207617.0 | 34721.0 | 44889.0 | 38952.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4098314.0 | 4029713.0 | 4377800.0 | 3602007.0 | 3497895.0 | 3379441.0 | 3681641.0 | 0.0 | 12.0 | 3.0 | 0.0 | 0.0 | 0.0 | 9.0 | 0.0 | 55.0 | 2.0 | 0.0 | 1.0 | 0.0 | 103.0 | 144.0 | 129.0 | 93.0 | 51.0 | 71.0 | 111.0 | 54.0 | 0.0 | 0.0 | 2067.0 | 0.0 | 407.0 | 530.0 | 467.0 | 393.0 | 448.0 | 395.0 | 428.0 | 318.0 | 218.0 | 182.0 | 202.0 | -3313122.0 | 56155653.0 | 59374575.0 | 0.0 | 31692149.0 | 0.0 | -18077542.0 | 0.0 | 0.0 | 75342819.0 | 0.0 | 0.0 | 57100892.0 | 0.0 | 80795174.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1050.0 | 0.0 | 0.0 | 0.0 | 1169.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1380.0 | 1174.0 | -4558.0 | 1043.0 |
| 5955 | 15818423 | Ready or Not | 1619765 | Greatest Hits | 2003-03-25 | Fugees | US | United States | 462883.0 | Hip-Hop/Rap | 1 | 166041595.0 | 49007.0 | 0.0 | 22.0 | 1608.0 | 2239.0 | 6022236.0 | 50845.0 | 0.0 | 24.0 | 433.0 | 2765.0 | 5402937.0 | 45821.0 | 10520248.0 | -2.0 | 2173.0 | 17349.0 | 5051890.0 | 46636.0 | 10483224.0 | 2.0 | 3525.0 | 2654.0 | Hip-Hop/Rap | 0.0 | 1995827.0 | 2327243.0 | 2178731.0 | 2024028.0 | 1819477.0 | 0.0 | 159754688.0 | 1650192.0 | 0.0 | 162650465.0 | 1601884.0 | 0.0 | 14570.0 | 20056.0 | 18086.0 | 16837.0 | 15922.0 | 0.0 | 703345.0 | 14762.0 | 0.0 | 718995.0 | 16811.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3458158.0 | 3405455.0 | 3760670.0 | 3354123.0 | 3750006.0 | 3326287.0 | 3406931.0 | 0.0 | 0.0 | 3.0 | 0.0 | 25.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 6.0 | 332.0 | 0.0 | 630.0 | 130.0 | 584.0 | 835.0 | 754.0 | 1257.0 | 1219.0 | 1049.0 | 0.0 | 667.0 | 789.0 | 818.0 | 1163.0 | 784.0 | 907.0 | 892.0 | 15550.0 | 989.0 | 837.0 | 828.0 | 0.0 | 0.0 | 0.0 | 132189738.0 | 0.0 | 160834196.0 | -163537479.0 | 0.0 | 0.0 | 0.0 | 0.0 | -448116296.0 | 0.0 | 164440535.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2498096.0 | 1841.0 | -267396.0 | 0.0 | 0.0 | 0.0 | 0.0 | -6010.0 | 0.0 | 1842.0 | 2273.0 |
| 15229 | 15812253 | It's Raining Men | 5088176 | NOW That's What I Call Music! 3 | 2019-07-19 | The Weather Girls | US | United States | 462882.0 | Pop | 1 | 0.0 | 0.0 | 0.0 | 53.0 | 0.0 | 2300.0 | 0.0 | 0.0 | 0.0 | 7.0 | 0.0 | 1922.0 | 0.0 | 0.0 | 11245886.0 | -1.0 | 0.0 | 287.0 | 0.0 | 0.0 | 10517458.0 | 2.0 | 0.0 | 1039.0 | Electronic | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3935463.0 | 3553331.0 | 4135340.0 | 3557215.0 | 3586905.0 | 3320198.0 | 3610355.0 | 0.0 | 0.0 | 1.0 | 0.0 | 8.0 | 0.0 | 0.0 | 0.0 | 31.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 735.0 | 783.0 | 734.0 | 627.0 | 561.0 | 90.0 | 109.0 | 88.0 | 79.0 | 873.0 | 87.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 21133 | 15812112 | It's Raining Men | 3952673 | Success | 1982-01-01 | The Weather Girls | US | United States | 462889.0 | R&B/Soul | 1 | 0.0 | 0.0 | 0.0 | 15.0 | 0.0 | 309.0 | 0.0 | 0.0 | 0.0 | 41.0 | 0.0 | 317.0 | 0.0 | 0.0 | 2282069.0 | 1.0 | 0.0 | 279.0 | 0.0 | 0.0 | 2828489.0 | 5.0 | 0.0 | 230.0 | Electronic | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 630073.0 | 667773.0 | 825450.0 | 788846.0 | 930638.0 | 879615.0 | 1018236.0 | 0.0 | 0.0 | 0.0 | 10.0 | 29.0 | 2.0 | 0.0 | 0.0 | 33.0 | 3.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 96.0 | 122.0 | 112.0 | 109.0 | 96.0 | 137.0 | 75.0 | 67.0 | 94.0 | 82.0 | 54.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
df_spotify_c3 = three_s.COUNTRY_NAME.value_counts()
df_spotify_c3 = pd.DataFrame(data=df_spotify_c3)
df_spotify_c3.columns = ['count']
df_spotify_c3.plot.bar()
<AxesSubplot:>
df_spotify_c3_genre = three_s.ARTIST_GENRE.value_counts()
df_spotify_c3_genre = pd.DataFrame(data=df_spotify_c3_genre)
df_spotify_c3_genre.columns = ['count']
df_spotify_c3_genre.plot.bar()
<AxesSubplot:>